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ORCIDJohn Lygeros
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- affiliation: ETH Zurich, Switzerland
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Journal Articles
- 2025
[j132]Ahmed Aboudonia, John Lygeros:
Adaptive learning-based model predictive control for uncertain interconnected systems: A set membership identification approach. Autom. 171: 111943 (2025)- 2024
- [j131]Ben Sprenger
, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler:
Control Strategies for Recommendation Systems in Social Networks. IEEE Control. Syst. Lett. 8: 634-639 (2024) - [j130]Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros:
Joint Chance Constrained Optimal Control via Linear Programming. IEEE Control. Syst. Lett. 8: 736-741 (2024) - [j129]Kai Zhang, Riccardo Zuliani, Efe C. Balta, John Lygeros:
Data-Enabled Predictive Iterative Control. IEEE Control. Syst. Lett. 8: 1186-1191 (2024) - [j128]Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach:
Toward a Systems Theory of Algorithms. IEEE Control. Syst. Lett. 8: 1198-1210 (2024) - [j127]Matilde Gargiani, Andrea Martinelli, Max Ruts Martinez, John Lygeros:
Parallel and Flexible Dynamic Programming via the Mini-Batch Bellman Operator. IEEE Trans. Autom. Control. 69(1): 455-462 (2024) - [j126]Panagiotis D. Grontas, Giuseppe Belgioioso, Carlo Cenedese, Marta Fochesato, John Lygeros, Florian Dörfler:
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent. IEEE Trans. Autom. Control. 69(12): 8338-8353 (2024) - [j125]Linbin Huang, John Lygeros, Florian Dörfler:
Robust and Kernelized Data-Enabled Predictive Control for Nonlinear Systems. IEEE Trans. Control. Syst. Technol. 32(2): 611-624 (2024) - 2023
- [j124]Roy S. Smith, Varsha Behrunani, John Lygeros:
Control of Multicarrier Energy Systems from Buildings to Networks. Annu. Rev. Control. Robotics Auton. Syst. 6: 391-414 (2023) - [j123]Jeremy Coulson, Henk J. van Waarde, John Lygeros, Florian Dörfler:
A Quantitative Notion of Persistency of Excitation and the Robust Fundamental Lemma. IEEE Control. Syst. Lett. 7: 1243-1248 (2023) - [j122]Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe C. Balta, John Lygeros:
Online Linear Quadratic Tracking With Regret Guarantees. IEEE Control. Syst. Lett. 7: 3950-3955 (2023) - [j121]Mohammad H. Mamduhi, Dipankar Maity, Karl Henrik Johansson, John Lygeros:
Regret-Optimal Cross-Layer Co-Design in Networked Control Systems - Part I: General Case. IEEE Commun. Lett. 27(11): 2874-2878 (2023) - [j120]Dipankar Maity, Mohammad H. Mamduhi, John Lygeros, Karl Henrik Johansson:
Regret-Optimal Cross-Layer Co-Design in Networked Control Systems - Part II: Gauss-Markov Case. IEEE Commun. Lett. 27(11): 2879-2883 (2023) - [j119]Suli Zou, John Lygeros:
Semidecentralized Zeroth-Order Algorithms for Stochastic Generalized Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 68(2): 1237-1244 (2023) - [j118]Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler:
Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees. IEEE Trans. Autom. Control. 68(5): 3163-3170 (2023) - [j117]Mohammad Khosravi, Christopher König, Markus Maier, Roy S. Smith, John Lygeros, Alisa Rupenyan:
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. IEEE Trans. Ind. Electron. 70(2): 2128-2138 (2023) - 2022
- [j116]Andrea Martinelli, Matilde Gargiani, John Lygeros:
Data-driven optimal control with a relaxed linear program. Autom. 136: 110052 (2022) - [j115]Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Information-Operation Technology Integration in Industrial Cyberphysical Systems. Computer 55(11): 115-118 (2022) - [j114]Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari:
Learning Q-Function Approximations for Hybrid Control Problems. IEEE Control. Syst. Lett. 6: 1364-1369 (2022) - [j113]Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros:
On Robustness in Optimization-Based Constrained Iterative Learning Control. IEEE Control. Syst. Lett. 6: 2846-2851 (2022) - [j112]Matilde Gargiani, Andrea Zanelli, Dominic Liao-McPherson, Tyler H. Summers, John Lygeros:
Dynamic Programming Through the Lens of Semismooth Newton-Type Methods. IEEE Control. Syst. Lett. 6: 2996-3001 (2022) - [j111]Andrea Martinelli, Matilde Gargiani, Marina Draskovic, John Lygeros:
Data-Driven Optimal Control of Affine Systems: A Linear Programming Perspective. IEEE Control. Syst. Lett. 6: 3092-3097 (2022) - [j110]Carlo Cenedese, Patrick Stokkink, Nikolas Geroliminis, John Lygeros:
Incentive-based electric vehicle charging for managing bottleneck congestion. Eur. J. Control 68: 100697 (2022) - [j109]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization. IEEE Robotics Autom. Lett. 7(4): 11886-11893 (2022) - [j108]Paul Nathaniel Beuchat, Joseph Warrington, John Lygeros:
Accelerated Point-Wise Maximum Approach to Approximate Dynamic Programming. IEEE Trans. Autom. Control. 67(1): 251-266 (2022) - [j107]Jeremy Coulson, John Lygeros, Florian Dörfler:
Distributionally Robust Chance Constrained Data-Enabled Predictive Control. IEEE Trans. Autom. Control. 67(7): 3289-3304 (2022) - [j106]Ahmed Aboudonia, Annika Eichler, Francesco Cordiano, Goran Banjac, John Lygeros:
Distributed Model Predictive Control With Reconfigurable Terminal Ingredients for Reference Tracking. IEEE Trans. Autom. Control. 67(11): 6263-6270 (2022) - [j105]Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Decentralized Data-Enabled Predictive Control for Power System Oscillation Damping. IEEE Trans. Control. Syst. Technol. 30(3): 1065-1077 (2022) - [j104]Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Performance-Driven Cascade Controller Tuning With Bayesian Optimization. IEEE Trans. Ind. Electron. 69(1): 1032-1042 (2022) - 2021
- [j103]Ahmed Aboudonia, Andrea Martinelli, John Lygeros:
Passivity-Based Decentralized Control for Discrete-Time Large-Scale Systems. IEEE Control. Syst. Lett. 5(6): 2072-2077 (2021) - [j102]George J. Pappas, Kostas Daniilidis, Leonidas J. Guibas, Lydia E. Kavraki, Petros Koumoutsakos, Kostas J. Kyriakopoulos, John Lygeros, Michael S. Triantafyllou, Panagiotis Tsiotras:
Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Found. Trends Robotics 9(3): 201-265 (2021) - [j101]Goran Banjac, John Lygeros:
On the asymptotic behavior of the Douglas-Rachford and proximal-point algorithms for convex optimization. Optim. Lett. 15(8): 2719-2732 (2021) - [j100]Dimitris Gkouletsos, Andrea Iannelli, Mathias Hudoba de Badyn, John Lygeros:
Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration. IEEE Robotics Autom. Lett. 6(4): 6329-6336 (2021) - [j99]Felix Rey, Peter Hokayem, John Lygeros:
ADMM for Exploiting Structure in MPC Problems. IEEE Trans. Autom. Control. 66(5): 2076-2086 (2021) - [j98]Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium With Inertia in Population Games. IEEE Trans. Autom. Control. 66(12): 5742-5755 (2021) - [j97]Benjamin Flamm, Annika Eichler, Joseph Warrington, John Lygeros:
Two-Stage Dual Dynamic Programming With Application to Nonlinear Hydro Scheduling. IEEE Trans. Control. Syst. Technol. 29(1): 96-107 (2021) - 2020
- [j96]Francesca Parise, Sergio Grammatico, Basilio Gentile, John Lygeros:
Distributed convergence to Nash equilibria in network and average aggregative games. Autom. 117: 108959 (2020) - [j95]Daniele Alpago, Florian Dörfler, John Lygeros:
An Extended Kalman Filter for Data-Enabled Predictive Control. IEEE Control. Syst. Lett. 4(4): 994-999 (2020) - [j94]Marc Hohmann, Joseph Warrington, John Lygeros:
A moment and sum-of-squares extension of dual dynamic programming with application to nonlinear energy storage problems. Eur. J. Oper. Res. 283(1): 16-32 (2020) - [j93]Juraj Kabzan, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart:
AMZ Driverless: The full autonomous racing system. J. Field Robotics 37(7): 1267-1294 (2020) - [j92]Michel Schubiger, Goran Banjac, John Lygeros:
GPU acceleration of ADMM for large-scale quadratic programming. J. Parallel Distributed Comput. 144: 55-67 (2020) - [j91]Paul Nathaniel Beuchat, Angelos Georghiou, John Lygeros:
Performance Guarantees for Model-Based Approximate Dynamic Programming in Continuous Spaces. IEEE Trans. Autom. Control. 65(1): 143-158 (2020) - [j90]Georgios Darivianakis, Annika Eichler, John Lygeros:
Distributed Model Predictive Control for Linear Systems With Adaptive Terminal Sets. IEEE Trans. Autom. Control. 65(3): 1044-1056 (2020) - [j89]Francesca Parise, Basilio Gentile, John Lygeros:
A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints. IEEE Trans. Control. Netw. Syst. 7(2): 770-782 (2020) - [j88]Alexander Liniger, John Lygeros:
A Noncooperative Game Approach to Autonomous Racing. IEEE Trans. Control. Syst. Technol. 28(3): 884-897 (2020) - 2019
- [j87]Paul N. Beuchat, Henrik Hesse, Alexander Domahidi, John Lygeros:
Enabling Optimization-Based Localization for IoT Devices. IEEE Internet Things J. 6(3): 5639-5650 (2019) - [j86]Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros:
Generalized Maximum Entropy Estimation. J. Mach. Learn. Res. 20: 138:1-138:29 (2019) - [j85]Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros:
Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. IEEE Trans. Autom. Control. 64(4): 1373-1388 (2019) - [j84]Joseph Warrington, Paul N. Beuchat, John Lygeros:
Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces. IEEE Trans. Autom. Control. 64(12): 5012-5023 (2019) - [j83]Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros:
The Power of Diversity: Data-Driven Robust Predictive Control for Energy-Efficient Buildings and Districts. IEEE Trans. Control. Syst. Technol. 27(1): 132-145 (2019) - [j82]Alexander Liniger, John Lygeros:
Real-Time Control for Autonomous Racing Based on Viability Theory. IEEE Trans. Control. Syst. Technol. 27(2): 464-478 (2019) - [j81]Fabian L. Müller, Jácint Szabó, Olle Sundström, John Lygeros:
Aggregation and Disaggregation of Energetic Flexibility From Distributed Energy Resources. IEEE Trans. Smart Grid 10(2): 1205-1214 (2019) - [j80]Felix Rey, Xiaojing Zhang, Sandro Merkli, Valentina Agliati, Maryam Kamgarpour, John Lygeros:
Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM. IEEE Trans. Smart Grid 10(4): 3860-3869 (2019) - [j79]Fabian L. Mueller, Stefan Woerner, John Lygeros:
Unlocking the Potential of Flexible Energy Resources to Help Balance the Power Grid. IEEE Trans. Smart Grid 10(5): 5212-5222 (2019) - 2018
- [j78]Joseph Warrington, Daniel Drew, John Lygeros:
Low-Dimensional Space- and Time-Coupled Power System Control Policies Driven by High-Dimensional Ensemble Weather Forecasts. IEEE Control. Syst. Lett. 2(1): 1-6 (2018) - [j77]Dario Paccagnan, Francesca Parise, John Lygeros:
On the Efficiency of Nash Equilibria in Aggregative Charging Games. IEEE Control. Syst. Lett. 2(4): 629-634 (2018) - [j76]Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros:
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. 28(3): 1968-1998 (2018) - [j75]Francesca Parise, Maria Elena Valcher, John Lygeros:
Computing the Projected Reachable Set of Stochastic Biochemical Reaction Networks Modeled by Switched Affine Systems. IEEE Trans. Autom. Control. 63(11): 3719-3734 (2018) - [j74]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
Corrections to "On Submodularity and Controllability in Complex Dynamical Networks". IEEE Trans. Control. Netw. Syst. 5(3): 1503 (2018) - 2017
- [j73]Tobias Sutter, David Sutter, John Lygeros:
Capacity of random channels with large alphabets. Adv. Math. Commun. 11(4): 813-835 (2017) - [j72]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, Paul Goulart, John Lygeros:
Robust optimal control with adjustable uncertainty sets. Autom. 75: 249-259 (2017) - [j71]Maryam Kamgarpour, Tony A. Wood, Sean Summers, John Lygeros:
Control synthesis for stochastic systems given automata specifications defined by stochastic sets. Autom. 76: 177-182 (2017) - [j70]Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros:
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. IEEE Control. Syst. Lett. 1(1): 134-139 (2017) - [j69]Georgios Darivianakis, Annika Eichler, Roy S. Smith, John Lygeros:
A Data-Driven Stochastic Optimization Approach to the Seasonal Storage Energy Management. IEEE Control. Syst. Lett. 1(2): 394-399 (2017) - [j68]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes. J. Artif. Intell. Res. 60: 263-284 (2017) - [j67]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Strong Stationarity Conditions for Optimal Control of Hybrid Systems. IEEE Trans. Autom. Control. 62(9): 4512-4526 (2017) - 2016
- [j66]Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros:
The stochastic reach-avoid problem and set characterization for diffusions. Autom. 70: 43-56 (2016) - [j65]Tobias Baltensperger, Rudolf M. Füchslin, Pius Krütli, John Lygeros:
Multiplicity of equilibria in conjectural variations models of natural gas markets. Eur. J. Oper. Res. 252(2): 646-656 (2016) - [j64]Andreas Milias-Argeitis, Ana Paula Oliveira, Luca Gerosa, Laura Falter, Uwe Sauer, John Lygeros:
Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection. PLoS Comput. Biol. 12(3) (2016) - [j63]Nikolaos Kariotoglou, Kostas Margellos, John Lygeros:
On the computational complexity and generalization properties of multi-stage and stage-wise coupled scenario programs. Syst. Control. Lett. 94: 63-69 (2016) - [j62]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul J. Goulart, John Lygeros:
A Scenario Approach for Non-Convex Control Design. IEEE Trans. Autom. Control. 61(2): 334-345 (2016) - [j61]Peyman Mohajerin Esfahani, John Lygeros:
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems With Probabilistic Performance. IEEE Trans. Autom. Control. 61(3): 633-647 (2016) - [j60]Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros:
Motion Planning for Continuous-Time Stochastic Processes: A Dynamic Programming Approach. IEEE Trans. Autom. Control. 61(8): 2155-2170 (2016) - [j59]Sergio Grammatico, Francesca Parise, Marcello Colombino, John Lygeros:
Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control. IEEE Trans. Autom. Control. 61(11): 3315-3329 (2016) - [j58]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
On Submodularity and Controllability in Complex Dynamical Networks. IEEE Trans. Control. Netw. Syst. 3(1): 91-101 (2016) - [j57]Manuel Soler, Maryam Kamgarpour, Javier Lloret, John Lygeros:
A Hybrid Optimal Control Approach to Fuel-Efficient Aircraft Conflict Avoidance. IEEE Trans. Intell. Transp. Syst. 17(7): 1826-1838 (2016) - 2015
- [j56]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul J. Goulart, John Lygeros:
On the sample size of random convex programs with structured dependence on the uncertainty. Autom. 60: 182-188 (2015) - [j55]Maria Anna Rapsomaniki, Eugenio Cinquemani, Nickolaos-Nikiforos Giakoumakis, Panagiotis Kotsantis, John Lygeros, Zoi Lygerou:
Inference of protein kinetics by stochastic modeling and simulation of fluorescence recovery after photobleaching experiments. Bioinform. 31(3): 355-362 (2015) - [j54]Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros:
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-Convex Programs. IEEE Trans. Autom. Control. 60(1): 46-58 (2015) - [j53]Debasish Chatterjee, John Lygeros:
On Stability and Performance of Stochastic Predictive Control Techniques. IEEE Trans. Autom. Control. 60(2): 509-514 (2015) - [j52]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Inverse Parametric Optimization With an Application to Hybrid System Control. IEEE Trans. Autom. Control. 60(4): 1064-1069 (2015) - [j51]Kostas Margellos, Maria Prandini, John Lygeros:
On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems. IEEE Trans. Autom. Control. 60(10): 2716-2721 (2015) - [j50]Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros:
Efficient Approximation of Channel Capacities. IEEE Trans. Inf. Theory 61(4): 1649-1666 (2015) - [j49]Jakob Ruess, John Lygeros:
Moment-Based Methods for Parameter Inference and Experiment Design for Stochastic Biochemical Reaction Networks. ACM Trans. Model. Comput. Simul. 25(2): 8:1-8:25 (2015) - 2014
- [j48]Kostas Margellos, Paul Goulart, John Lygeros:
On the Road Between Robust Optimization and the Scenario Approach for Chance Constrained Optimization Problems. IEEE Trans. Autom. Control. 59(8): 2258-2263 (2014) - [j47]Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, John Lygeros:
Symbolic Control of Stochastic Systems via Approximately Bisimilar Finite Abstractions. IEEE Trans. Autom. Control. 59(12): 3135-3150 (2014) - [j46]Alexander Artikis, Chris Baber, Pedro Bizarro, Carlos Canudas-de-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman:
Scalable Proactive Event-Driven Decision Making. IEEE Technol. Soc. Mag. 33(3): 35-41 (2014) - 2013
- [j45]Jerry Ding, Maryam Kamgarpour, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin:
A stochastic games framework for verification and control of discrete time stochastic hybrid systems. Autom. 49(9): 2665-2674 (2013) - [j44]Sean Summers, Maryam Kamgarpour, Claire J. Tomlin, John Lygeros:
Stochastic system controller synthesis for reachability specifications encoded by random sets. Autom. 49(9): 2906-2910 (2013) - [j43]Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros:
Isospectral flows on a class of finite-dimensional Jacobi matrices. Syst. Control. Lett. 62(5): 388-394 (2013) - [j42]Debasish Chatterjee, Peter Hokayem, Federico Ramponi, John Lygeros:
On Mean-Square Boundedness of Stochastic Linear Systems With Quantized Observations. IEEE Trans. Autom. Control. 58(8): 2082-2085 (2013) - [j41]Tomas Tuma, Angeliki Pantazi, John Lygeros, Abu Sebastian:
Nanopositioning With Impulsive State Multiplication: A Hybrid Control Approach. IEEE Trans. Control. Syst. Technol. 21(4): 1352-1364 (2013) - [j40]Kostas Margellos, John Lygeros:
Toward 4-D Trajectory Management in Air Traffic Control: A Study Based on Monte Carlo Simulation and Reachability Analysis. IEEE Trans. Control. Syst. Technol. 21(5): 1820-1833 (2013) - 2012
- [j39]Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee, Federico Ramponi, John Lygeros:
Stochastic receding horizon control with output feedback and bounded controls. Autom. 48(1): 77-88 (2012) - [j38]Debasish Chatterjee, Federico Ramponi, Peter Hokayem, John Lygeros:
On mean square boundedness of stochastic linear systems with bounded controls. Syst. Control. Lett. 61(2): 375-380 (2012) - [j37]Peter Hokayem, Debasish Chatterjee, Federico Ramponi, John Lygeros:
Stable Networked Control Systems With Bounded Control Authority. IEEE Trans. Autom. Control. 57(12): 3153-3157 (2012) - 2011
- [j36]Konstantinos Koutroumpas, John Lygeros:
Modeling and analysis of DNA replication. Autom. 47(6): 1156-1164 (2011) - [j35]Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros:
Convexity and convex approximations of discrete-time stochastic control problems with constraints. Autom. 47(9): 2082-2087 (2011) - [j34]Kostas Margellos, John Lygeros:
Hamilton-Jacobi Formulation for Reach-Avoid Differential Games. IEEE Trans. Autom. Control. 56(8): 1849-1861 (2011) - [j33]Sean Summers, Colin N. Jones, John Lygeros, Manfred Morari:
A Multiresolution Approximation Method for Fast Explicit Model Predictive Control. IEEE Trans. Autom. Control. 56(11): 2530-2541 (2011) - [j32]Debasish Chatterjee, Peter Hokayem, John Lygeros:
Stochastic Receding Horizon Control With Bounded Control Inputs: A Vector Space Approach. IEEE Trans. Autom. Control. 56(11): 2704-2710 (2011) - 2010
- [j31]Sean Summers, John Lygeros:
Verification of discrete time stochastic hybrid systems: A stochastic reach-avoid decision problem. Autom. 46(12): 1951-1961 (2010) - [j30]Riccardo Porreca, Eugenio Cinquemani, John Lygeros, Giancarlo Ferrari-Trecate:
Identification of genetic network dynamics with unate structure. Bioinform. 26(9): 1239-1245 (2010) - [j29]John Lygeros, Maria Prandini:
Stochastic Hybrid Systems: A Powerful Framework for Complex, Large Scale Applications. Eur. J. Control 16(6): 583-594 (2010) - [j28]Alessandro Abate, Joost-Pieter Katoen, John Lygeros, Maria Prandini:
Approximate Model Checking of Stochastic Hybrid Systems. Eur. J. Control 16(6): 624-641 (2010) - [j27]Alessandro Abate, John Lygeros, Shankar S. Sastry:
Probabilistic safety and optimal control for survival analysis of Bacillus subtilis. Syst. Control. Lett. 59(1): 79-85 (2010) - [j26]Federico Ramponi, Debasish Chatterjee, Andreas Milias-Argeitis, Peter Hokayem, John Lygeros:
Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input. IEEE Trans. Autom. Control. 55(10): 2414-2418 (2010) - [j25]Andrea Lecchini-Visintini, John Lygeros, Jan M. Maciejowski:
Stochastic Optimization on Continuous Domains With Finite-Time Guarantees by Markov Chain Monte Carlo Methods. IEEE Trans. Autom. Control. 55(12): 2858-2863 (2010) - 2008
- [j24]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems. Autom. 44(11): 2724-2734 (2008) - [j23]Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros:
Stochastic dynamics of genetic networks: modelling and parameter identification. Bioinform. 24(23): 2748-2754 (2008) - [j22]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate, John Lygeros:
Subtilin Production by Bacillus Subtilis: Stochastic Hybrid Models and Parameter Identification. IEEE Trans. Autom. Control. 53: 38-50 (2008) - 2007
- [j21]Karl-Erik Årzén, Antonio Bicchi, Gianluca Dini, Stephen Hailes, Karl Henrik Johansson, John Lygeros, Anthony Tzes:
A Component-Based Approach to the Design of Networked Control Systems. Eur. J. Control 13(2-3): 261-279 (2007) - [j20]Yan Gao, John Lygeros, Marc Quincampoix:
On the Reachability Problem for Uncertain Hybrid Systems. IEEE Trans. Autom. Control. 52(9): 1572-1586 (2007) - 2006
- [j19]Chenggui Yuan, John Lygeros:
Asymptotic stability and boundedness of delay switching diffusions. IEEE Trans. Autom. Control. 51(1): 171-175 (2006) - [j18]Sasa V. Rakovic, Eric C. Kerrigan, David Q. Mayne, John Lygeros:
Reachability analysis of discrete-time systems with disturbances. IEEE Trans. Autom. Control. 51(4): 546-561 (2006) - [j17]Andrea Lecchini-Visintini, William Glover, John Lygeros, Jan M. Maciejowski:
Monte Carlo Optimization for Conflict Resolution in Air Traffic Control. IEEE Trans. Intell. Transp. Syst. 7(4): 470-482 (2006) - 2005
- [j16]Andrea Balluchi, Luca Benvenuti, Sebastian Engell, Tobias Geyer, Karl Henrik Johansson, Françoise Lamnabhi-Lagarrigue, John Lygeros, Manfred Morari, Georgios Papafotiou, Alberto L. Sangiovanni-Vincentelli, Fortunato Santucci, Olaf Stursberg:
Hybrid Control of Networked Embedded Systems. Eur. J. Control 11(4-5): 478-508 (2005) - [j15]Chenggui Yuan, John Lygeros:
Stabilization of a class of stochastic differential equations with Markovian switching. Syst. Control. Lett. 54(9): 819-833 (2005) - [j14]Chenggui Yuan, John Lygeros:
On the exponential stability of switching diffusion processes. IEEE Trans. Autom. Control. 50(9): 1422-1426 (2005) - 2004
- [j13]John Lygeros:
On reachability and minimum cost optimal control. Autom. 40(6): 917-927 (2004) - 2003
- [j12]John Lygeros:
Discussion on: "Switched Integrator Control Schemes for Integrating Plants". Eur. J. Control 9(6): 560-565 (2003) - [j11]John Lygeros, Karl Henrik Johansson, Slobodan N. Simic, Jun Zhang, S. Shankar Sastry:
Dynamical properties of hybrid automata. IEEE Trans. Autom. Control. 48(1): 2-17 (2003) - 2002
- [j10]Jean-Pierre Aubin, John Lygeros, Marc Quincampoix, Shankar Sastry, Nicolas Seube:
Impulse differential inclusions: a viability approach to hybrid systems. IEEE Trans. Autom. Control. 47(1): 2-20 (2002) - 2000
- [j9]Carolos Livadas, John Lygeros, Nancy A. Lynch:
High-level modeling and analysis of the traffic alert and collision avoidance system (TCAS). Proc. IEEE 88(7): 926-948 (2000) - [j8]Claire J. Tomlin, John Lygeros, S. Shankar Sastry:
A game theoretic approach to controller design for hybrid systems. Proc. IEEE 88(7): 949-970 (2000) - [j7]John Lygeros, Datta N. Godbole, Mireille E. Broucke:
A fault tolerant control architecture for automated highway systems. IEEE Trans. Control. Syst. Technol. 8(2): 205-219 (2000) - [j6]Datta N. Godbole, John Lygeros, Ekta Singh, Akash Deshpande, Antonia E. Lindsey:
Communication protocols for a fault-tolerant automated highway system. IEEE Trans. Control. Syst. Technol. 8(5): 787-800 (2000) - [j5]Maria Prandini, Jianghai Hu, John Lygeros, Shankar Sastry:
A probabilistic approach to aircraft conflict detection. IEEE Trans. Intell. Transp. Syst. 1(4): 199-220 (2000) - 1999
- [j4]John Lygeros, Claire J. Tomlin, Shankar Sastry:
Controllers for reachability specifications for hybrid systems. Autom. 35(3): 349-370 (1999) - 1998
- [j3]James Bret Michael, Datta N. Godbole, John Lygeros, Raja Sengupta:
Capacity Analysis of Traffic Flow Over a Single-Lane Automated Highway System. J. Intell. Transp. Syst. 4(1-2): 49-80 (1998) - [j2]John Lygeros, Datta N. Godbole, Shankar Sastry:
Verified hybrid controllers for automated vehicles. IEEE Trans. Autom. Control. 43(4): 522-539 (1998) - 1997
- [j1]John Lygeros:
A formal approach to fuzzy modeling. IEEE Trans. Fuzzy Syst. 5(3): 317-327 (1997)
Conference and Workshop Papers
- 2024
- [c243]Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros:
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models. CASE 2024: 1910-1915 - [c242]Xavier Guidetti, Ankita Mukne, Marvin Rueppel, Yannick Nagel, Efe C. Balta, John Lygeros:
Data-Driven Extrusion Force Control Tuning for 3D Printing. CASE 2024: 2262-2267 - [c241]Mohamed Abdalmoaty, Efe C. Balta, John Lygeros, Roy S. Smith:
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. ECC 2024: 935-940 - [c240]Varsha Behrunani, Federica Bellizio, Philipp Heer, John Lygeros:
Design of Distribution Tariffs for Energy Hub Networks to Reduce Carbon Emissions. ECC 2024: 1534-1539 - [c239]Alessio Rimoldi, Carlo Cenedese, Alberto Padoan, Florian Dörfler, John Lygeros:
Urban Traffic Congestion Control: A DeePC Change. ECC 2024: 2909-2914 - [c238]Anastasios Tsiamis, Aren Karapetyan, Yueshan Li, Efe C. Balta, John Lygeros:
Predictive Linear Online Tracking for Unknown Targets. ICML 2024 - [c237]Riccardo Zuliani, Raffaele Soloperto, John Lygeros:
Convergence guarantees for adaptive model predictive control with kinky inference. L4DC 2024: 1058-1070 - 2023
- [c236]Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CCTA 2023: 162-167 - [c235]Alberto Padoan, Florian Dörfler, John Lygeros:
Data-Driven Representations of Conical, Convex, and Affine Behaviors. CDC 2023: 596-601 - [c234]Liviu Aolaritei, Marta Fochesato, John Lygeros, Florian Dörfler:
Wasserstein Tube MPC with Exact Uncertainty Propagation. CDC 2023: 2036-2041 - [c233]Kenan Zhang, John Lygeros:
Routing and Charging Game in Ride-Hailing Service with Electric Vehicles. CDC 2023: 3116-3121 - [c232]Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler:
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype. CDC 2023: 3142-3147 - [c231]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CDC 2023: 5053-5058 - [c230]Marta Fochesato, Filippo Fabiani, John Lygeros:
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking. ECC 2023: 1-6 - [c229]Milos Katanic, John Lygeros, Gabriela Hug:
Bad-Data-Resilient Dynamic State Estimation for Power Systems with Partially Known Models. ISGT Asia 2023: 1-5 - [c228]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli:
Karma Priority lanes for fair and efficient bottleneck congestion management. MED 2023: 458-463 - [c227]Carlo Cenedese, Matteo Lucchini, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
On the effect of capacity drops in highways with service stations. MED 2023: 478-483 - 2022
- [c226]Ahmed Aboudonia, Andrea Martinelli, Nicolas Hoischen, John Lygeros:
Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking. CDC 2022: 1130-1135 - [c225]Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros:
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CDC 2022: 1479-1484 - [c224]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CDC 2022: 2487-2492 - [c223]Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers:
Policy Iteration for Multiplicative Noise Output Feedback Control. CDC 2022: 2967-2972 - [c222]Marta Fochesato, John Lygeros:
Data-Driven Distributionally Robust Bounds for Stochastic Model Predictive Control. CDC 2022: 3611-3616 - [c221]Alberto Padoan, Jeremy Coulson, Henk J. van Waarde, John Lygeros, Florian Dörfler:
Behavioral uncertainty quantification for data-driven control. CDC 2022: 4726-4731 - [c220]Francesco Micheli, Tyler H. Summers, John Lygeros:
Data-driven distributionally robust MPC for systems with uncertain dynamics. CDC 2022: 4788-4793 - [c219]Aren Karapetyan, Andrea Iannelli, John Lygeros:
On the Regret of H∞ Control. CDC 2022: 6181-6186 - [c218]Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
A Novel Control-Oriented Cell Transmission Model Including Service Stations on Highways. CDC 2022: 6278-6283 - [c217]Francesco Micheli, John Lygeros:
Scenario-based Stochastic MPC for systems with uncertain dynamics. ECC 2022: 833-838 - [c216]Ahmed Aboudonia, Goran Banjac, Annika Eichler, John Lygeros:
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking. ECC 2022: 847-852 - [c215]Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Batch Model Predictive Control for Selective Laser Melting. ECC 2022: 1560-1565 - [c214]Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. ECC 2022: 1678-1683 - [c213]Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. ICML 2022: 7223-7240 - [c212]Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan:
Controller-Aware Dynamic Network Management for Industry 4.0. IECON 2022: 1-6 - [c211]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Safe Control with Minimal Regret. L4DC 2022: 726-738 - 2021
- [c210]Ahmed Aboudonia, Andrea Martinelli, John Lygeros:
Passivity-based Decentralized Control for Discrete-time Large-scale Systems. ACC 2021: 2037-2042 - [c209]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization. CASE 2021: 31-38 - [c208]Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. CDC 2021: 460-465 - [c207]Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CDC 2021: 2116-2121 - [c206]Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn, Saverio Bolognani, John Lygeros, Florian Dörfler:
Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking. CDC 2021: 2702-2708 - [c205]Mathias Hudoba de Badyn, Erik Miehling, Dylan Janak, Behçet Açikmese, Mehran Mesbahi, Tamer Basar, John Lygeros, Roy S. Smith:
Discrete-Time Linear-Quadratic Regulation via Optimal Transport. CDC 2021: 3060-3065 - [c204]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CDC 2021: 3605-3610 - [c203]Andrea Martinelli, Matilde Gargiani, John Lygeros:
On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control. CDC 2021: 4352-4357 - [c202]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. ICML 2021: 5257-5268 - [c201]Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. ICRA 2021: 8046-8052 - [c200]Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause:
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. ICRA 2021: 9782-9788 - [c199]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c198]Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros:
Input Convex Neural Networks for Building MPC. L4DC 2021: 251-262 - 2020
- [c197]Alexandros Tanzanakis, John Lygeros:
Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach. CDC 2020: 2455-2462 - [c196]Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. ECC 2020: 650-655 - [c195]José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. IROS 2020: 2397-2403 - [c194]Sandeep Menta, Joseph Warrington, John Lygeros, Manfred Morari:
Learning solutions to hybrid control problems using Benders cuts. L4DC 2020: 118-126 - 2019
- [c193]Maximilian Schütte, Ashish Ranjan Hota, Annika Eichler, John Lygeros:
Dynamic Mechanism Design for Human-in-the-Loop Control of Building Energy Consumption. ACC 2019: 247-252 - [c192]Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros:
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. ACC 2019: 1501-1506 - [c191]Goran Banjac, Felix Rey, Paul Goulart, John Lygeros:
Decentralized Resource Allocation via Dual Consensus ADMM. ACC 2019: 2789-2794 - [c190]Goran Banjac, John Lygeros:
A Data-Driven Policy Iteration Scheme based on Linear Programming. CDC 2019: 816-821 - [c189]Matthias Binder, Georgios Darivianakis, Annika Eichler, John Lygeros:
Approximate Explicit Model Predictive Controller using Gaussian Processes. CDC 2019: 841-846 - [c188]Jeremy Coulson, John Lygeros, Florian Dörfler:
Regularized and Distributionally Robust Data-Enabled Predictive Control. CDC 2019: 2696-2701 - [c187]Suli Zou, Zhe Chen, John Lygeros:
Price Control for Heterogeneous Thermostatically Controlled Loads in Communication and Computation Delay Environments. CDC 2019: 4453-4458 - [c186]Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros:
Real-Time Predictive Control for Precision Machining. CDC 2019: 7746-7751 - [c185]Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Enabled Predictive Control for Grid-Connected Power Converters. CDC 2019: 8130-8135 - [c184]Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Enabled Predictive Control: In the Shallows of the DeePC. ECC 2019: 307-312 - [c183]Suli Zou, Joseph Warrington, John Lygeros:
Game-theoretic robust energy coordination for a neighbourhood of smart homes. ECC 2019: 3402-3407 - [c182]Angel Romero, Paul N. Beuchat, Yvonne R. Stürz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. ECC 2019: 3752-3759 - 2018
- [c181]Georgios Darivianakis, Salar Fattahi, John Lygeros, Javad Lavaei:
High-Performance Cooperative Distributed Model Predictive Control for Linear Systems. ACC 2018: 2318-2325 - [c180]Benjamin Flamm, Annika Eichler, Joseph Warrington, John Lygeros:
Dual Dynamic Programming for Nonlinear Control Problems over Long Horizons. ECC 2018: 471-476 - [c179]Felix Rey, Zhoudan Pan, Adrian Hauswirth, John Lygeros:
Fully Decentralized ADMM for Coordination and Collision Avoidance. ECC 2018: 825-830 - [c178]Annika Eichler, Georgios Darivianakis, John Lygeros:
Humans-in-the-loop: A Game-Theoretic Perspective on Adaptive Building Energy Systems. ECC 2018: 1322-1327 - [c177]Paul Beuchat, Henrik Hesse, Alexander Domahidi, John Lygeros:
Optimization based self-localization for IoT wireless sensor networks. WF-IoT 2018: 712-717 - 2017
- [c176]Marius Schmitt, Chithrupa Ramesh, Paul J. Goulart, John Lygeros:
Convex, monotone systems are optimally operated at steady-state. ACC 2017: 2662-2667 - [c175]Alexander Liniger, Xiaojing Zhang, Philipp Aeschbach, Angelos Georghiou, John Lygeros:
Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback. ACC 2017: 5642-5647 - [c174]Paul N. Beuchat, Joseph Warrington, John Lygeros:
Point-wise maximum approach to approximate dynamic programming. CDC 2017: 3694-3701 - [c173]Basilio Gentile, Dario Paccagnan, Bolutife Ogunsola, John Lygeros:
A novel concept of equilibrium over a network. CDC 2017: 3829-3834 - [c172]Felix Rey, Peter Hokayem, John Lygeros:
Ask not what ADMM can do for you, ask what you can do for ADMM - Virtual subsystems in MPC. CDC 2017: 4357-4362 - [c171]Tobias Sutter, Angeliki Kamoutsi, Peyman Mohajerin Esfahani, John Lygeros:
Data-driven approximate dynamic programming: A linear programming approach. CDC 2017: 5174-5179 - 2016
- [c170]Lukas Möller, Basilio Gentile, Francesca Parise, Sergio Grammatico, John Lygeros:
Constrained deterministic leader-follower mean field control. ACC 2016: 4687-4692 - [c169]Francesca Parise, Maria Elena Valcher, John Lygeros:
Reachability analysis for switched affine systems and its application to controlled stochastic biochemical reaction networks. CDC 2016: 746-751 - [c168]Felix Rey, Damian Frick, Alexander Domahidi, Juan Luis Jerez, Manfred Morari, John Lygeros:
ADMM prescaling for model predictive control. CDC 2016: 3662-3667 - [c167]Dario Paccagnan, Basilio Gentile, Francesca Parise, Maryam Kamgarpour, John Lygeros:
Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. CDC 2016: 6123-6128 - [c166]Dalibor Drzajic, Nikolaos Kariotoglou, Maryam Kamgarpour, John Lygeros:
A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems. ARCH@CPSWeek 2016: 134-143 - [c165]Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
On aggregative and mean field games with applications to electricity markets. ECC 2016: 196-201 - [c164]Chithrupa Ramesh, Marius Schmitt, John Lygeros:
Distributed learning in the presence of disturbances. ECC 2016: 257-262 - [c163]Jesus Velasco Carrau, Alexander Liniger, Xiaojing Zhang, John Lygeros:
Efficient implementation of Randomized MPC for miniature race cars. ECC 2016: 957-962 - [c162]Paul Beuchat, Angelos Georghiou, John Lygeros:
Alleviating tuning sensitivity in Approximate Dynamic Programming. ECC 2016: 1616-1622 - 2015
- [c161]Francesca Parise, Maria Elena Valcher, John Lygeros:
On the use of hyperplane methods to compute the reachable set of controlled stochastic biochemical reaction networks. CDC 2015: 1259-1264 - [c160]Francesca Parise, Basilio Gentile, Sergio Grammatico, John Lygeros:
Network aggregative games: Distributed convergence to Nash equilibria. CDC 2015: 2295-2300 - [c159]Xiaojing Zhang, Angelos Georghiou, John Lygeros:
Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization. CDC 2015: 3038-3043 - [c158]Sergio Grammatico, Francesca Parise, John Lygeros:
Constrained linear quadratic deterministic mean field control: Decentralized convergence to Nash equilibria in large populations of heterogeneous agents. CDC 2015: 4412-4417 - [c157]Philipp Aeschbach, Xiaojing Zhang, Angelos Georghiou, John Lygeros:
Balancing bike sharing systems through customer cooperation - a case study on London's Barclays Cycle Hire. CDC 2015: 4722-4727 - [c156]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
A necessary optimality condition for constrained optimal control of hybrid systems. CDC 2015: 5272-5277 - [c155]Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
On the range of feasible power trajectories for a population of thermostatically controlled loads. CDC 2015: 5883-5888 - [c154]Marina González Vayá, Sergio Grammatico, Göran Andersson, John Lygeros:
On the price of being selfish in large populations of plug-in electric vehicles. CDC 2015: 6542-6547 - [c153]Fabian L. Mueller, Olle Sundström, Jácint Szabó, John Lygeros:
Aggregation of energetic flexibility using zonotopes. CDC 2015: 6564-6569 - [c152]Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros:
A stochastic optimization approach to cooperative building energy management via an energy hub. CDC 2015: 7814-7819 - [c151]Tyler H. Summers, Iman Shames, John Lygeros, Florian Dörfler:
Topology design for optimal network coherence. ECC 2015: 575-580 - [c150]X. Zhang, Evangelos Vrettos, Maryam Kamgarpour, Göran Andersson, John Lygeros:
Stochastic frequency reserve provision by chance-constrained control of commercial buildings. ECC 2015: 1134-1140 - [c149]Marius Schmitt, Paul J. Goulart, Angelos Georghiou, John Lygeros:
Flow-maximizing equilibria of the Cell Transmission Model. ECC 2015: 2634-2639 - [c148]Francesca Parise, Sergio Grammatico, Marcello Colombino, John Lygeros:
On constrained mean field control for large populations of heterogeneous agents: Decentralized convergence to Nash equilibria. ECC 2015: 3316-3321 - [c147]Sergio Grammatico, Basilio Gentile, Francesca Parise, John Lygeros:
A Mean Field control approach for demand side management of large populations of Thermostatically Controlled Loads. ECC 2015: 3548-3553 - [c146]Alexander Liniger, John Lygeros:
A viability approach for fast recursive feasible finite horizon path planning of autonomous RC cars. HSCC 2015: 1-10 - 2014
- [c145]Tobias Sutter, David Sutter, John Lygeros:
Asymptotic capacity of a random channel. Allerton 2014: 771-778 - [c144]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach to non-convex control design: Preliminary probabilistic guarantees. ACC 2014: 3431-3436 - [c143]Fabrizio L. Cortesi, Tyler H. Summers, John Lygeros:
Submodularity of energy related controllability metrics. CDC 2014: 2883-2888 - [c142]Francesca Parise, Maria Elena Valcher, John Lygeros:
On the reachable set of the controlled gene expression system. CDC 2014: 4597-4604 - [c141]Francesca Parise, Marcello Colombino, Sergio Grammatico, John Lygeros:
Mean field constrained charging policy for large populations of Plug-in Electric Vehicles. CDC 2014: 5101-5106 - [c140]Alberto Giovanni Busetto, John Lygeros:
Experimental design for system identification of Boolean Control Networks in biology. CDC 2014: 5704-5709 - [c139]Kostas Margellos, Maria Prandini, John Lygeros:
A compression learning perspective to scenario based optimization. CDC 2014: 5997-6002 - [c138]Xiaojing Zhang, Maryam Kamgarpour, Paul Goulart, John Lygeros:
Selling robustness margins: A framework for optimizing reserve capacities for linear systems. CDC 2014: 6419-6424 - [c137]Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros:
Approximation of constrained average cost Marks. CDC 2014: 6597-6602 - [c136]Alberto Giovanni Busetto, John Lygeros:
Near-optimal selection of parallel inputs in Bayesian experimental design for systems biology. ECC 2014: 540-545 - [c135]Flavio Heer, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros:
Model based power optimisation of wind farms. ECC 2014: 1145-1150 - [c134]Francesca Parise, Jakob Ruess, John Lygeros:
Grey-box techniques for the identification of a controlled gene expression model. ECC 2014: 1498-1503 - [c133]Daniel Bohl, Nikolaos Kariotoglou, Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Model-based current limiting for traction control of an electric four-wheel drive race car. ECC 2014: 1981-1986 - [c132]David Sutter, Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros:
Efficient approximation of discrete memoryless channel capacities. ISIT 2014: 2904-2908 - [c131]Tobias Sutter, Peyman Mohajerin Esfahani, David Sutter, John Lygeros:
Capacity approximation of memoryless channels with countable output alphabets. ISIT 2014: 2909-2913 - [c130]Tyler H. Summers, Joseph Warrington, Manfred Morari, John Lygeros:
Stochastic optimal power flow based on convex approximations of chance constraints. PSCC 2014: 1-7 - 2013
- [c129]Bratislav Svetozarevic, Peyman Mohajerin Esfahani, Maryam Kamgarpour, John Lygeros:
A robust fault detection and isolation filter for a horizontal axis variable speed wind turbine. ACC 2013: 4453-4458 - [c128]Frauke Oldewurtel, David Sturzenegger, Peyman Mohajerin Esfahani, Göran Andersson, Manfred Morari, John Lygeros:
Adaptively constrained Stochastic Model Predictive Control for closed-loop constraint satisfaction. ACC 2013: 4674-4681 - [c127]Erasmia Evangelia Tiniou, Peyman Mohajerin Esfahani, John Lygeros:
Fault detection with discrete-time measurements: An application for the cyber security of power networks. CDC 2013: 194-199 - [c126]Aron Hjartarson, Jakob Ruess, John Lygeros:
Approximating the solution of the chemical master equation by combining finite state projection and stochastic simulation. CDC 2013: 751-756 - [c125]Peter Hokayem, Debasish Chatterjee, John Lygeros:
Chance-constrained LQG with bounded control policies. CDC 2013: 2471-2476 - [c124]Jakob Ruess, John Lygeros:
Identifying stochastic biochemical networks from single-cell population experiments: A comparison of approaches based on the Fisher information. CDC 2013: 2703-2708 - [c123]Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, John Lygeros:
Bisimilar finite abstractions of stochastic control systems. CDC 2013: 3926-3931 - [c122]Tony A. Wood, Sean Summers, John Lygeros:
A stochastic reachability approach to emergency building evacuation. CDC 2013: 5722-5727 - [c121]Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
Stochastic Model Predictive Control using a combination of randomized and robust optimization. CDC 2013: 7740-7745 - [c120]Jakob Ruess, John Lygeros:
On the Use of the Moment Equations for Parameter Inference, Control and Experimental Design in Stochastic Biochemical Reaction Networks. CMSB 2013: 1-4 - [c119]John Lygeros:
Message from the international program committee chair. ECC 2013: 7-8 - [c118]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate dynamic programming via sum of squares programming. ECC 2013: 191-197 - [c117]Nikolaos Kariotoglou, Sean Summers, Tyler H. Summers, Maryam Kamgarpour, John Lygeros:
Approximate dynamic programming for stochastic reachability. ECC 2013: 584-589 - [c116]Stephan M. Huck, John Lygeros:
Stochastic localization of sources with convergence guarantees. ECC 2013: 602-607 - [c115]Clemens Wiltsche, John Lygeros, Federico Alessandro Ramponi:
Synthesis of an asynchronous communication protocol for search and rescue robots. ECC 2013: 1256-1261 - [c114]Kostas Margellos, Vahab Rostampour, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros:
Stochastic unit commitment and reserve scheduling: A tractable formulation with probabilistic certificates. ECC 2013: 2513-2518 - [c113]Johanna L. Mathieu, Maryam Kamgarpour, John Lygeros, Duncan S. Callaway:
Energy arbitrage with thermostatically controlled loads. ECC 2013: 2519-2526 - [c112]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Every continuous piecewise affine function can be obtained by solving a parametric linear program. ECC 2013: 2657-2662 - [c111]Majid Zamani, Peyman Mohajerin Esfahani, Alessandro Abate, John Lygeros:
Symbolic models for stochastic control systems without stability assumptions. ECC 2013: 4257-4262 - [c110]Maryam Kamgarpour, Sean Summers, John Lygeros:
Control design for specifications on stochastic hybrid systems. HSCC 2013: 303-312 - [c109]Vahab Rostampour, Kostas Margellos, Maria Vrakopoulou, Maria Prandini, Göran Andersson, John Lygeros:
Reserve requirements in AC power systems with uncertain generation. ISGT Europe 2013: 1-5 - 2012
- [c108]Kostas Margellos, John Lygeros:
Revisiting the Viability Algorithm for Hybrid Systems Using Optimal Control. ADHS 2012: 25-32 - [c107]Tony A. Wood, Peyman Mohajerin Esfahani, John Lygeros:
Hybrid Modelling and Reachability on Autonomous RC-Cars. ADHS 2012: 430-435 - [c106]Tyler H. Summers, John Lygeros:
Distributed model predictive consensus via the Alternating Direction Method of Multipliers. Allerton Conference 2012: 79-84 - [c105]Tomas Tuma, John Lygeros, Abu Sebastian, Angeliki Pantazi:
Optimal scan trajectories for high-speed scanning probe microscopy. ACC 2012: 3791-3796 - [c104]Stephan M. Huck, Peter Hokayem, Debasish Chatterjee, John Lygeros:
Stochastic localization of sources using autonomous underwater vehicles. ACC 2012: 4192-4197 - [c103]Sean Summers, John Lygeros:
Multi-objective optimal control of stochastic hybrid systems. CDC 2012: 1474-1479 - [c102]Peyman Mohajerin Esfahani, Maria Vrakopoulou, Göran Andersson, John Lygeros:
A tractable nonlinear fault detection and isolation technique with application to the cyber-physical security of power systems. CDC 2012: 3433-3438 - [c101]Tomas Tuma, Walter Häberle, Hugo E. Rothuizen, John Lygeros, Angeliki Pantazi, Abu Sebastian:
A dual-stage nanopositioning approach to high-speed scanning probe microscopy. CDC 2012: 5079-5084 - [c100]Maria Prandini, Simone Garatti, John Lygeros:
A randomized approach to Stochastic Model Predictive Control. CDC 2012: 7315-7320 - [c99]Stephan M. Huck, Nikolaos Kariotoglou, Sean Summers, Davide Martino Raimondo, John Lygeros:
Design of importance-map based randomized patrolling strategies. COMPENG 2012: 1-6 - [c98]Göran Andersson, Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, André Teixeira, György Dán, Henrik Sandberg, Karl Henrik Johansson:
Cyber-security of SCADA systems. ISGT 2012: 1-2 - 2011
- [c97]Nikolaos Kariotoglou, Davide Martino Raimondo, Sean Summers, John Lygeros:
A stochastic reachability framework for autonomous surveillance with pan-tilt-zoom cameras. CDC/ECC 2011: 1411-1416 - [c96]Davide Martino Raimondo, Nikolaos Kariotoglou, Sean Summers, John Lygeros:
Probabilistic certification of pan-tilt-zoom camera surveillance systems. CDC/ECC 2011: 2064-2069 - [c95]Andreas Milias-Argeitis, John Lygeros:
Efficient stochastic simulation of metastable Markov chains. CDC/ECC 2011: 2239-2244 - [c94]Ralph Burkart, Kostas Margellos, John Lygeros:
Nonlinear control of wind turbines: An approach based on switched linear systems and feedback linearization. CDC/ECC 2011: 5485-5490 - [c93]Maryam Kamgarpour, Jerry Ding, Sean Summers, Alessandro Abate, John Lygeros, Claire J. Tomlin:
Discrete time stochastic hybrid dynamical games: Verification & controller synthesis. CDC/ECC 2011: 6122-6127 - [c92]Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros:
On a problem of stochastic reach-avoid set characterization. CDC/ECC 2011: 7069-7074 - [c91]Tomas Tuma, Aggeliki Pantazi, John Lygeros, Abu Sebastian:
Impulsive control for nanopositioning: stability and performance. HSCC 2011: 173-180 - [c90]Sean Summers, Maryam Kamgarpour, John Lygeros, Claire J. Tomlin:
A stochastic reach-avoid problem with random obstacles. HSCC 2011: 251-260 - 2010
- [c89]Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson:
Cyber attack in a two-area power system: Impact identification using reachability. ACC 2010: 962-967 - [c88]Kostas Margellos, John Lygeros:
Hamilton-Jacobi formulation for reach-avoid problems with an application to air traffic management. ACC 2010: 3045-3050 - [c87]Georgios Chaloulos, Peter Hokayem, John Lygeros:
Distributed hierarchical MPC for conflict resolution in air traffic control. ACC 2010: 3945-3950 - [c86]Riccardo Porreca, Eugenio Cinquemani, John Lygeros, Giancarlo Ferrari-Trecate:
Structural identification of unate-like genetic network models from time-lapse protein concentration measurements. CDC 2010: 2529-2534 - [c85]Andreas Milias-Argeitis, Riccardo Porreca, Sean Summers, John Lygeros:
Bayesian model selection for the yeast GATA-factor network: A comparison of computational approaches. CDC 2010: 3379-3384 - [c84]Debasish Chatterjee, Saurabh Amin, Peter Hokayem, John Lygeros, Shankar Sastry:
Mean-square boundedness of stochastic networked control systems with bounded control inputs. CDC 2010: 4759-4764 - [c83]Peyman Mohajerin Esfahani, Maria Vrakopoulou, Kostas Margellos, John Lygeros, Göran Andersson:
A robust policy for Automatic Generation Control cyber attack in two area power network. CDC 2010: 5973-5978 - [c82]Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee, Federico Ramponi, John Lygeros:
Stochastic receding horizon control with output feedback and bounded control inputs. CDC 2010: 6095-6100 - [c81]Kostas Margellos, John Lygeros:
A simulation based MPC technique for feedback linearizable systems with input constraints. CDC 2010: 7539-7544 - [c80]Federico Ramponi, Debasish Chatterjee, Sean Summers, John Lygeros:
On the connections between PCTL and dynamic programming. HSCC 2010: 253-262 - [c79]Konstantinos Koutroumpas, John Lygeros:
Modeling and verification of stochastic hybrid systems using HIOA: a case study on DNA replication. HSCC 2010: 263-272 - 2009
- [c78]Sean Summers, John Lygeros:
A Probabilistic Reach-Avoid Problem for Controlled Discrete Time Stochastic Hybrid Systems. ADHS 2009: 150-155 - [c77]Debasish Chatterjee, Eugenio Cinquemani, John Lygeros:
Probabilistic regulation in stochastic hybrid systems subject to safety constraints. ADHS 2009: 286-291 - [c76]Kostas Margellos, John Lygeros:
Air traffic management with target windows: An approach using reachability. CDC 2009: 145-150 - [c75]Debasish Chatterjee, Eugenio Cinquemani, Georgios Chaloulos, John Lygeros:
On stochastic control up to a hitting time. CDC 2009: 531-536 - [c74]Eugenio Cinquemani, Riccardo Porreca, John Lygeros, Giancarlo Ferrari-Trecate:
Canalizing structure of genetic network dynamics: modelling and identification via mixed-integer programming. CDC 2009: 5618-5623 - [c73]Sean Summers, Colin N. Jones, John Lygeros, Manfred Morari:
A multiscale approximation scheme for explicit model predictive control with stability, feasibility, and performance guarantees. CDC 2009: 6327-6332 - [c72]Peter Hokayem, Debasish Chatterjee, John Lygeros:
On stochastic receding horizon control with bounded control inputs. CDC 2009: 6359-6364 - [c71]Dimitra Panagou, Kostas Margellos, Sean Summers, John Lygeros, Kostas J. Kyriakopoulos:
A viability approach for the stabilization of an underactuated underwater vehicle in the presence of current disturbances. CDC 2009: 8612-8617 - [c70]Maria Prandini, Luigi Piroddi, John Lygeros:
A two-step approach to aircraft conflict resolution combining optimal deterministic design with Monte Carlo stochastic optimization. ECC 2009: 1824-1829 - [c69]Mayank Agarwal, Eugenio Cinquemani, Debasish Chatterjee, John Lygeros:
On convexity of stochastic optimization problems with constraints. ECC 2009: 2827-2832 - [c68]Eugenio Cinquemani, Andreas Milias-Argeitis, Sean Summers, John Lygeros:
Local Identification of Piecewise Deterministic Models of Genetic Networks. HSCC 2009: 105-119 - 2008
- [c67]Konstantinos Koutroumpas, Zoi Lygerou, John Lygeros:
Parameter Identification for a DNA replication model. BIBE 2008: 1-6 - [c66]Eugenio Cinquemani, Vassilis Roukos, Zoi Lygerou, John Lygeros:
Numerical analysis of FRAP experiments for DNA replication and repair. CDC 2008: 155-160 - [c65]Giannis P. Roussos, Georgios Chaloulos, Kostas J. Kyriakopoulos, John Lygeros:
Control of multiple non-holonomic air vehicles under wind uncertainty using Model Predictive Control and decentralized navigation functions. CDC 2008: 1225-1230 - [c64]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems. CDC 2008: 4018-4023 - [c63]Andrea Lecchini-Visintini, John Lygeros, Jan M. Maciejowski:
On the approximate domain optimization of deterministic and expected value criteria. CDC 2008: 4933-4938 - [c62]Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
Approximation of General Stochastic Hybrid Systems by Switching Diffusions with Random Hybrid Jumps. HSCC 2008: 598-601 - [c61]Manuela-Luminita Bujorianu, John Lygeros, Rom Langerak:
Reachability Analysis of Stochastic Hybrid Systems by Optimal Control. HSCC 2008: 610-613 - 2007
- [c60]Eva Crück, John Lygeros:
Subliminal air traffic control: Human friendly control of a multi-agent system. ACC 2007: 462-467 - [c59]George K. Fourlas, John Lygeros:
Detection of aircraft divergence from its flight plan in the vertical plane. CDC 2007: 2351-2356 - [c58]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate, John Lygeros:
Parameter identification for stochastic hybrid models of biological interaction networks. CDC 2007: 5180-5185 - [c57]Eugenio Cinquemani, Riccardo Porreca, Giancarlo Ferrari-Trecate, John Lygeros:
A general framework for the identification of jump Markov linear systems. CDC 2007: 5737-5742 - [c56]Manuela-Luminita Bujorianu, John Lygeros:
New insights on stochastic reachability. CDC 2007: 6172-6177 - [c55]Alessandro Abate, Saurabh Amin, Maria Prandini, John Lygeros, Shankar Sastry:
Computational Approaches to Reachability Analysis of Stochastic Hybrid Systems. HSCC 2007: 4-17 - [c54]John Lygeros, Marc Quincampoix, Tadeusz Rzezuchowski:
Impulse Differential Inclusions Driven by Discrete Measures. HSCC 2007: 385-398 - [c53]Eva Crück, John Lygeros:
A Hybrid Model for Subliminal Air Traffic Control. HSCC 2007: 672-675 - [c52]Andrea Lecchini-Visintini, John Lygeros, Jan M. Maciejowski:
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains. NIPS 2007: 865-872 - 2006
- [c51]Panagiotis Kouretas, Konstantinos Koutoumpas, John Lygeros:
Parameter identification for piecewise Deterministic Markov Processes: a Case Study on a biochemical Network. ADHS 2006: 172-178 - [c50]Alessandro Abate, Saurabh Amin, Maria Prandini, John Lygeros, Shankar Sastry:
Probabilistic reachability and safe sets computation for discrete time stochastic hybrid systems. CDC 2006: 258-263 - [c49]Athanasia Panousopoulou, Efthymios Kolyvas, Yannis Koveos, Anthony Tzes, John Lygeros:
Robot-Assisted Target Localization using a Cooperative Scheme relying on Wireless Sensor Networks. CDC 2006: 1031-1036 - [c48]Badis Djeridane, John Lygeros:
Neural approximation of PDE solutions: An application to reachability computations. CDC 2006: 3034-3039 - [c47]K. N. Niarchos, John Lygeros:
A Neural Approximation to Continuous Time Reachability Computations. CDC 2006: 6313-6318 - [c46]Saurabh Amin, Alessandro Abate, Maria Prandini, John Lygeros, Shankar Sastry:
Reachability Analysis for Controlled Discrete Time Stochastic Hybrid Systems. HSCC 2006: 49-63 - [c45]Yan Gao, John Lygeros, Marc Quincampoix:
The Reachability Problem for Uncertain Hybrid Systems Revisited: A Viability Theory Perspective. HSCC 2006: 242-256 - [c44]John Lygeros, Xuerong Mao, Chenggui Yuan:
Stochastic Hybrid Delay Population Dynamics. HSCC 2006: 436-450 - 2005
- [c43]Ioannis Kitsios, John Lygeros:
Aerodynamic Envelope Computation for Safe Landing of the HL-20 Personnel Launch Vehicle Using Hybrid Control. ISIC 2005: 231-236 - [c42]T. Arampatzis, John Lygeros, Stamatis Manesis:
A Survey of Applications of Wireless Sensors and Wireless Sensor Networks. ISIC 2005: 719-724 - [c41]George Nikolakopoulos, Athanasia Panousopoulou, Anthony Tzes, John Lygeros:
Multi-hopping Induced Gain Scheduling for Wireless Networked Controlled Systems. CDC/ECC 2005: 470-475 - [c40]Ioannis Kitsios, John Lygeros:
Final Glide-back Envelope Computation for Reusable Launch Vehicle Using Reachability. CDC/ECC 2005: 4059-4064 - [c39]Pieter Collins, John Lygeros:
Computability of finite-time reachable sets for hybrid systems. CDC/ECC 2005: 4688-4693 - [c38]Manuela-Luminita Bujorianu, Marius C. Bujorianu, John Lygeros:
Abstractions of Stochastic Hybrid Systems. CDC/ECC 2005: 4712-4717 - [c37]John Lygeros:
An Overview of Research Areas in Hybrid Control. CDC/ECC 2005: 5600-5605 - [c36]Manuela-Luminita Bujorianu, John Lygeros, Marius C. Bujorianu:
Bisimulation for General Stochastic Hybrid Systems. HSCC 2005: 198-214 - [c35]Andrea Lecchini, William Glover, John Lygeros, Jan M. Maciejowski:
Air-Traffic Control in Approach Sectors: Simulation Examples and Optimisation. HSCC 2005: 433-448 - 2004
- [c34]Manuela-Luminita Bujorianu, John Lygeros:
General stochastic hybrid systems: modelling and optimal control. CDC 2004: 1872-1877 - [c33]Chenggui Yuan, John Lygeros:
Invariant measure of stochastic hybrid processes. CDC 2004: 3209-3214 - [c32]William Glover, John Lygeros:
A Stochastic Hybrid Model for Air Traffic Control Simulation. HSCC 2004: 372-386 - [c31]Chenggui Yuan, John Lygeros:
Asymptotic Stability and Boundedness of Delay Switching Diffusions. HSCC 2004: 646-659 - 2003
- [c30]Maria Domenica Di Benedetto, John Lygeros, The DEWS Team:
A New Experiment in Research on Hybrid Systems: The Center of Excellence DEWS. ADHS 2003: 13-19 - [c29]Giordano Pola, Manuela-Luminita Bujorianu, John Lygeros, Maria Domenica Di Benedetto:
Stochastic Hybrid Models: An Overview. ADHS 2003: 45-50 - [c28]John Lygeros:
Infinite Horizon Minmax Optimal Control: A Viability Approach. ADHS 2003: 265-270 - [c27]Yan Gao, John Lygeros, Marc Quincampoix, Nicolas Seube:
Approximate stabilisation of uncertain hybrid systems with controllable transitions. CDC 2003: 1675-1680 - [c26]Oliver Watkins, John Lygeros:
Stochastic reachability for discrete time systems: an application to aircraft collision avoidance. CDC 2003: 5314-5319 - [c25]Yan Gao, John Lygeros:
On the computation of viable polytopes for linear systems. ECC 2003: 570-575 - [c24]Manuela-Luminita Bujorianu, John Lygeros:
Reachability Questions in Piecewise Deterministic Markov Processes. HSCC 2003: 126-140 - [c23]Yan Gao, John Lygeros, Marc Quincampoix, Nicolas Seube:
Approximate Stabilisation of Uncertain Hybrid Systems. HSCC 2003: 203-215 - 2002
- [c22]John Lygeros:
On the relation of reachability to minimum cost optimal control. CDC 2002: 1910-1915 - [c21]John Lygeros, Maria Prandini:
Aircraft and weather models for probabilistic collision avoidance in air traffic control. CDC 2002: 2427-2432 - 2001
- [c20]John Lygeros, Karl Henrik Johansson, Slobodan N. Simic, Jun Zhang, Shankar Sastry:
Continuity and invariance in hybrid automata. CDC 2001: 340-345 - [c19]René Vidal, Shawn Schaffert, Omid Shakernia, John Lygeros, Shankar Sastry:
Decidable and semi-decidable controller synthesis for classes of discrete time hybrid systems. CDC 2001: 1243-1248 - [c18]Jean-Pierre Aubin, John Lygeros, Marc Quincampoix, Shankar Sastry, Nicolas Seube:
Viability and invariance kernels of impulse differential inclusions. CDC 2001: 1639-1644 - [c17]Jean-Pierre Aubin, John Lygeros, Marc Quincampoix, Shankar Sastry, Nicolas Seube:
Towards a viability theory of hybrid systems. ECC 2001: 3852-3857 - [c16]Slobodan N. Simic, Karl Henrik Johansson, John Lygeros, Shankar Sastry:
Structural stability of hybrid systems1. ECC 2001: 3858-3863 - 2000
- [c15]Magnus Egerstedt, Petter Ögren, Omid Shakernia, John Lygeros:
Toward optimal control of switched linear systems. CDC 2000: 587-592 - [c14]Jianghai Hu, John Lygeros, Shankar Sastry:
Towars a Theory of Stochastic Hybrid Systems. HSCC 2000: 160-173 - [c13]Slobodan N. Simic, Karl Henrik Johansson, Shankar Sastry, John Lygeros:
Towards a Geometric Theory of Hybrid Systems. HSCC 2000: 421-436 - [c12]René Vidal, Shawn Schaffert, John Lygeros, Shankar Sastry:
Controlled Invariance of Discrete Time Systems. HSCC 2000: 437-450 - [c11]Jun Zhang, Karl Henrik Johansson, John Lygeros, Shankar Sastry:
Dynamical Systems Revisited: Hybrid Systems with Zeno Executions. HSCC 2000: 451-464 - 1999
- [c10]Claire J. Tomlin, John Lygeros, Shankar Sastry:
Computing Controllers for Nonlinear Hybrid Systems. HSCC 1999: 238-255 - [c9]Carolos Livadas, John Lygeros, Nancy A. Lynch:
High-Level Modeling and Analysis of TCAS. RTSS 1999: 115-125 - 1998
- [c8]John Lygeros, Nancy A. Lynch:
Strings of Vehicles: Modeling and Safety Conditions. HSCC 1998: 273-288 - [c7]John Lygeros, George J. Pappas, Shankar Sastry:
An Approach to the Verification of the Center-TRACON Automation System. HSCC 1998: 289-304 - [c6]Claire J. Tomlin, John Lygeros, Shankar Sastry:
Synthesizing Controllers for Nonlinear Hybrid Systems. HSCC 1998: 360-373 - 1997
- [c5]John Lygeros, Claire J. Tomlin, Shankar Sastry:
Multiobjective Hybrid Controller Synthesis. HART 1997: 109-123 - 1996
- [c4]Claire J. Tomlin, George J. Pappas, John Lygeros, Datta N. Godbole, Shankar Sastry:
Hybrid Control Models of Next Generarion AIr Traffic Management. Hybrid Systems 1996: 378-404 - 1995
- [c3]John Lygeros, Datta N. Godbole, Shankar Sastry:
A Game-Theoretic Approach to Hybrid System Design. Hybrid Systems 1995: 1-12 - [c2]John A. Haddon, Datta N. Godbole, Akash Deshpande, John Lygeros:
Verification of Hybrid Systems: Monotonicity in the AHS Control System. Hybrid Systems 1995: 161-172 - 1994
- [c1]Datta N. Godbole, John Lygeros, Shankar Sastry:
Hierarchical Hybrid Control: A Case Study. Hybrid Systems 1994: 166-190
Parts in Books or Collections
- 2005
- [p1]John Lygeros:
An Overview of Hybrid Systems Control. Handbook of Networked and Embedded Control Systems 2005: 519-538
Editorship
- 2021
- [e2]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - 2014
- [e1]Martin Fränzle, John Lygeros:
17th International Conference on Hybrid Systems: Computation and Control (part of CPS Week), HSCC'14, Berlin, Germany, April 15-17, 2014. ACM 2014, ISBN 978-1-4503-2732-9 [contents]
Reference Works
- 2015
- [r1]Mustafa Khammash, John Lygeros:
Identification and Control of Cell Populations. Encyclopedia of Systems and Control 2015
Informal and Other Publications
- 2024
- [i161]Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach:
Towards a Systems Theory of Algorithms. CoRR abs/2401.14029 (2024) - [i160]Anastasios Tsiamis, Aren Karapetyan, Yueshan Li, Efe C. Balta, John Lygeros:
Predictive Linear Online Tracking for Unknown Targets. CoRR abs/2402.10036 (2024) - [i159]Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros:
Joint Chance Constrained Optimal Control via Linear Programming. CoRR abs/2402.19360 (2024) - [i158]Riccardo Zuliani, Efe C. Balta, John Lygeros:
Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees. CoRR abs/2403.04655 (2024) - [i157]Mohamed Abdalmoaty, Efe C. Balta, John Lygeros, Roy S. Smith:
Online Identification of Stochastic Continuous-Time Wiener Models Using Sampled Data. CoRR abs/2403.05899 (2024) - [i156]Ben Sprenger, Giulia De Pasquale, Raffaele Soloperto, John Lygeros, Florian Dörfler:
Control Strategies for Recommendation Systems in Social Networks. CoRR abs/2403.06152 (2024) - [i155]Kai Zhang, Riccardo Zuliani, Efe C. Balta, John Lygeros:
Data-Enabled Predictive Repetitive Control. CoRR abs/2403.11883 (2024) - [i154]Xavier Guidetti, Nathan Mingard, Raul Cruz-Oliver, Yannick Nagel, Marvin Rueppel, Alisa Rupenyan, Efe C. Balta, John Lygeros:
Force Controlled Printing for Material Extrusion Additive Manufacturing. CoRR abs/2403.16042 (2024) - [i153]Sarah H. Q. Li, Yue Yu, Florian Dörfler, John Lygeros:
A Coupled Optimization Framework for Correlated Equilibria in Normal-Form Game. CoRR abs/2403.16223 (2024) - [i152]Xavier Guidetti, Ankita Mukne, Marvin Rueppel, Yannick Nagel, Efe C. Balta, John Lygeros:
Data-Driven Extrusion Force Control Tuning for 3D Printing. CoRR abs/2403.16470 (2024) - [i151]Mahdi Nobar, Jürg Keller, Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Guided Bayesian Optimization: Data-Efficient Controller Tuning with Digital Twin. CoRR abs/2403.16619 (2024) - [i150]Maximilian Degner, Raffaele Soloperto, Melanie N. Zeilinger, John Lygeros, Johannes Köhler:
Adaptive Economic Model Predictive Control for linear systems with performance guarantees. CoRR abs/2403.18398 (2024) - [i149]Anastasios Tsiamis, Mohamed Abdalmoaty, Roy S. Smith, John Lygeros:
Finite Sample Frequency Domain Identification. CoRR abs/2404.01100 (2024) - [i148]Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis, Andrea Iannelli, John Lygeros:
On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty. CoRR abs/2404.02023 (2024) - [i147]Xavier Guidetti, Efe C. Balta, John Lygeros:
Swarm-Based Trajectory Generation and Optimization for Stress-Aligned 3D Printing. CoRR abs/2404.10686 (2024) - [i146]Jiaqi Yan, Ankush Chakrabarty, Alisa Rupenyan, John Lygeros:
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models. CoRR abs/2404.12097 (2024) - [i145]Ahmed Aboudonia, John Lygeros:
Adaptive Learning-based Model Predictive Control for Uncertain Interconnected Systems: A Set Membership Identification Approach. CoRR abs/2404.16514 (2024) - [i144]Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros:
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces. CoRR abs/2405.15509 (2024) - [i143]Francesco Micheli, Anastasios Tsiamis, John Lygeros:
Data-Driven Distributionally Robust System Level Synthesis. CoRR abs/2405.18142 (2024) - [i142]Baris Kavas, Efe C. Balta, Michael R. Tucker, Raamadaas Krishnadas, Alisa Rupenyan, John Lygeros, Markus Bambach:
In-situ Controller Autotuning by Bayesian Optimization for Closed-loop Feedback Control of Laser Powder Bed Fusion Process. CoRR abs/2406.19096 (2024) - [i141]Anastasios Vlachos, Anastasios Tsiamis, Aren Karapetyan, Efe C. Balta, John Lygeros:
Online Residual Learning from Offline Experts for Pedestrian Tracking. CoRR abs/2409.04069 (2024) - [i140]Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas, John Lygeros, Florian Dörfler:
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach. CoRR abs/2410.14592 (2024) - 2023
- [i139]Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros:
Stress Flow Guided Non-Planar Print Trajectory Optimization for Additive Manufacturing of Anisotropic Polymers. CoRR abs/2301.04999 (2023) - [i138]Varsha Behrunani, Andrew Irvine, Giuseppe Belgioioso, Philipp Heer, John Lygeros, Florian Dörfler:
Designing Fairness in Autonomous Peer-to-peer Energy Trading. CoRR abs/2302.04771 (2023) - [i137]Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe C. Balta, John Lygeros:
Online Linear Quadratic Tracking with Regret Guarantees. CoRR abs/2303.10260 (2023) - [i136]Marta Fochesato, Filippo Fabiani, John Lygeros:
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking - Extended version. CoRR abs/2304.03052 (2023) - [i135]Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler:
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm. CoRR abs/2304.12004 (2023) - [i134]Francesco Micheli, Varsha Behrunani, Jonas Mehr, Philipp Heer, John Lygeros:
Stochastic MPC for energy hubs using data driven demand forecasting. CoRR abs/2304.12438 (2023) - [i133]Varsha Behrunani, Hanmin Cai, Philipp Heer, Roy S. Smith, John Lygeros:
Distributed Multi-Horizon Model Predictive Control for Network of Energy Hubs. CoRR abs/2304.14089 (2023) - [i132]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Regret Optimal Control for Uncertain Stochastic Systems. CoRR abs/2304.14835 (2023) - [i131]Milos Katanic, John Lygeros, Gabriela Hug:
Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model. CoRR abs/2305.10065 (2023) - [i130]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control. CoRR abs/2305.10085 (2023) - [i129]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
On the Guarantees of Minimizing Regret in Receding Horizon. CoRR abs/2306.14561 (2023) - [i128]Varsha Behrunani, Marta Zagórowska, Mathias Hudoba de Badyn, Francesco Ricca, Philipp Heer, John Lygeros:
Degradation-aware data-enabled predictive control of energy hubs. CoRR abs/2307.01543 (2023) - [i127]Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems. CoRR abs/2307.12802 (2023) - [i126]Kenan Zhang, John Lygeros:
Routing and charging game in ride-hailing service with electric vehicles. CoRR abs/2309.05120 (2023) - [i125]Alberto Padoan, Florian Dörfler, John Lygeros:
Data-driven representations of conical, convex, and affine behaviors. CoRR abs/2310.15354 (2023) - [i124]Marta A. Zagorowska, Christopher König, Hanlin Yu, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Efficient safe learning for controller tuning with experimental validation. CoRR abs/2310.17431 (2023) - [i123]Varsha Behrunani, Philipp Heer, John Lygeros:
Experimental Validation for Distributed Control of Energy Hubs. CoRR abs/2310.18037 (2023) - [i122]Lucia Falconi, Andrea Martinelli, John Lygeros:
Data-driven optimal control via linear programming: boundedness guarantees. CoRR abs/2310.19563 (2023) - [i121]Alexandros Tanzanakis, John Lygeros:
Multi-Step Optimal Tracking Control of Unknown Nonzero-Sum Games based on Least Squares and Linear Programming: An Application to a Fully-Automated, Dual-Hormone Artificial Pancreas. CoRR abs/2311.03063 (2023) - [i120]Andrea Martinelli, Ahmed Aboudonia, John Lygeros:
Interconnection of Discrete-Time Dissipative Systems. CoRR abs/2311.08088 (2023) - [i119]Alessio Rimoldi, Carlo Cenedese, Alberto Padoan, Florian Dörfler, John Lygeros:
Urban traffic congestion control: a DeePC change. CoRR abs/2311.09851 (2023) - [i118]Dominic Liao-McPherson, Efe C. Balta, Mohamadreza Afrasiabi, Alisa Rupenyan, Markus Bambach, John Lygeros:
Layer-to-Layer Melt Pool Control in Laser Power Bed Fusion. CoRR abs/2311.10218 (2023) - [i117]Alexandros Tanzanakis, John Lygeros:
Data-Driven Robust Reinforcement Learning Control of Uncertain Nonlinear Systems: Towards a Fully-Automated, Insulin-Based Artificial Pancreas. CoRR abs/2312.04503 (2023) - [i116]Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros:
Closed-Loop Finite-Time Analysis of Suboptimal Online Control. CoRR abs/2312.05607 (2023) - [i115]Jean-Sébastien Brouillon, Andrea Martin, John Lygeros, Florian Dörfler, Giancarlo Ferrari-Trecate:
Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers. CoRR abs/2312.07324 (2023) - [i114]Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros:
Computing Optimal Joint Chance Constrained Control Policies. CoRR abs/2312.10495 (2023) - [i113]Riccardo Zuliani, Raffaele Soloperto, John Lygeros:
Convergence guarantees for adaptive model predictive control with kinky inference. CoRR abs/2312.11329 (2023) - [i112]Riccardo Zuliani, Efe C. Balta, John Lygeros:
BP-MPC: Optimizing Closed-Loop Performance of MPC using BackPropagation. CoRR abs/2312.15521 (2023) - 2022
- [i111]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Stochastic convex optimization for provably efficient apprenticeship learning. CoRR abs/2201.00039 (2022) - [i110]Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. CoRR abs/2202.00308 (2022) - [i109]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Safe Control with Minimal Regret. CoRR abs/2203.00358 (2022) - [i108]Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros:
On Robustness in Optimization-Based Constrained Iterative Learning Control. CoRR abs/2203.05291 (2022) - [i107]Andrea Martinelli, Matilde Gargiani, Marina Draskovic, John Lygeros:
Data-driven optimal control of affine systems: A linear programming perspective. CoRR abs/2203.12044 (2022) - [i106]Aren Karapetyan, Andrea Iannelli, John Lygeros:
On the Regret of H∞ control. CoRR abs/2203.16237 (2022) - [i105]Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers:
Policy Iteration for Multiplicative Noise Output Feedback Control. CoRR abs/2203.17165 (2022) - [i104]Alberto Padoan, Jeremy Coulson, Henk J. van Waarde, John Lygeros, Florian Dörfler:
Behavioral uncertainty quantification for data-driven control. CoRR abs/2204.02671 (2022) - [i103]Efe C. Balta, Andrea Iannelli, Roy S. Smith, John Lygeros:
Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch. CoRR abs/2204.04722 (2022) - [i102]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CoRR abs/2204.08730 (2022) - [i101]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization. CoRR abs/2205.11827 (2022) - [i100]Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan:
Controller-Aware Dynamic Network Management for Industry 4.0. CoRR abs/2205.14449 (2022) - [i99]Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
A Novel Control-Oriented Cell Transition Model Including Service Stations on Highways. CoRR abs/2205.15115 (2022) - [i98]Samuel Balula, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros:
Data-driven Reference Trajectory Optimization for Precision Motion Systems. CoRR abs/2205.15694 (2022) - [i97]Linbin Huang, John Lygeros, Florian Dörfler:
Robust and Kernelized Data-Enabled Predictive Control for Nonlinear Systems. CoRR abs/2206.01866 (2022) - [i96]Ahmed Aboudonia, Goran Banjac, Annika Eichler, John Lygeros:
Online Computation of Terminal Ingredients in Distributed Model Predictive Control for Reference Tracking. CoRR abs/2207.09216 (2022) - [i95]Ahmed Aboudonia, Andrea Martinelli, Nicolas Hoischen, John Lygeros:
Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking. CoRR abs/2207.09233 (2022) - [i94]Milos Katanic, John Lygeros, Gabriela Hug:
Moving-Horizon State Estimation for Power Networks and Synchronous Generators. CoRR abs/2207.12150 (2022) - [i93]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, John Lygeros, Florian Dörfler:
CARMA: Fair and efficient bottleneck congestion management with karma. CoRR abs/2208.07113 (2022) - [i92]Francesco Micheli, Tyler H. Summers, John Lygeros:
Data-driven distributionally robust MPC for systems with uncertain dynamics. CoRR abs/2209.08869 (2022) - [i91]Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements. CoRR abs/2210.15239 (2022) - [i90]Yuchao Li, Aren Karapetyan, John Lygeros, Karl Henrik Johansson, Jonas Mårtensson:
Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond. CoRR abs/2211.06187 (2022) - [i89]Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn, Nicolas Pelzmann, John Lygeros, Florian Dörfler:
Stability and Robustness of Distributed Suboptimal Model Predictive Control. CoRR abs/2211.07341 (2022) - [i88]Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate:
Follow the Clairvoyant: an Imitation Learning Approach to Optimal Control. CoRR abs/2211.07389 (2022) - [i87]Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta, Andrea Iannelli, John Lygeros:
Implications of Regret on Stability of Linear Dynamical Systems. CoRR abs/2211.07411 (2022) - [i86]Niklas Schmid, John Lygeros:
Probabilistic Reachability and Invariance Computation of Stochastic Systems using Linear Programming. CoRR abs/2211.07544 (2022) - [i85]Samuel Balula, Dominic Liao-McPherson, Stefan Stevsic, Alisa Rupenyan, John Lygeros:
Drone-based Volume Estimation in Indoor Environments. CoRR abs/2211.08013 (2022) - [i84]Carlo Cenedese, Michele Cucuzzella, Adriano Cotta Ramusino, Davide Spalenza, John Lygeros, Antonella Ferrara:
Optimal service station design for traffic mitigation via genetic algorithm and neural network. CoRR abs/2211.10159 (2022) - 2021
- [i83]Christopher König, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause:
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. CoRR abs/2101.07825 (2021) - [i82]Xavier Guidetti, Alisa Rupenyan, Lutz Fassl, Majid Nabavi, John Lygeros:
Sample-efficient Plasma Spray Process Configuration with Constrained Bayesian Optimization. CoRR abs/2103.13881 (2021) - [i81]Alisa Rupenyan, Mohammad Khosravi, John Lygeros:
Performance-based Trajectory Optimization for Path Following Control Using Bayesian Optimization. CoRR abs/2103.15416 (2021) - [i80]Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler:
Robust Data-Enabled Predictive Control: Tractable Formulations and Performance Guarantees. CoRR abs/2105.07199 (2021) - [i79]Ahmed Aboudonia, Andrea Martinelli, John Lygeros:
Passivity-based Decentralized Control for Discrete-time Large-scale Systems. CoRR abs/2107.07277 (2021) - [i78]Anilkumar Parsi, Ahmed Aboudonia, Andrea Iannelli, John Lygeros, Roy S. Smith:
A distributed framework for linear adaptive MPC. CoRR abs/2109.05777 (2021) - [i77]Andrea Martinelli, Matilde Gargiani, John Lygeros:
On the Synthesis of Bellman Inequalities for Data-Driven Optimal Control. CoRR abs/2109.13193 (2021) - [i76]Nicolas Lefebure, Mohammad Khosravi, Mathias Hudoba de Badyn, Felix Bünning, John Lygeros, Colin N. Jones, Roy S. Smith:
Distributed Model Predictive Control of Buildings and Energy Hubs. CoRR abs/2110.01734 (2021) - [i75]Felix Bünning, Benjamin Huber, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, Roy S. Smith, John Lygeros:
Physics-informed linear regression is a competitive approach compared to Machine Learning methods in building MPC. CoRR abs/2110.15911 (2021) - [i74]Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros:
In-layer Thermal Control of a Multi-layer Selective Laser Melting Process. CoRR abs/2111.00890 (2021) - [i73]Riccardo Zuliani, Efe C. Balta, Alisa Rupenyan, John Lygeros:
Batch Model Predictive Control for Selective Laser Melting. CoRR abs/2111.08363 (2021) - [i72]Efe C. Balta, Kira Barton, Dawn M. Tilbury, Alisa Rupenyan, John Lygeros:
Learning-Based Repetitive Precision Motion Control with Mismatch Compensation. CoRR abs/2111.10246 (2021) - [i71]Angeliki Kamoutsi, Goran Banjac, John Lygeros:
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations. CoRR abs/2112.14004 (2021) - 2020
- [i70]Alexandros Tanzanakis, John Lygeros:
Data-Driven Control of Unknown Systems: A Linear Programming Approach. CoRR abs/2003.00779 (2020) - [i69]Samuel Balula, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Reference design for closed loop system optimization. CoRR abs/2003.01429 (2020) - [i68]José L. Vázquez, Marius Brühlmeier, Alexander Liniger, Alisa Rupenyan, John Lygeros:
Optimization-Based Hierarchical Motion Planning for Autonomous Racing. CoRR abs/2003.04882 (2020) - [i67]Andrea Martinelli, John Lygeros:
Learning Optimal Control Policies for Stochastic Systems with a Relaxed Bellman Operator. CoRR abs/2003.08721 (2020) - [i66]Andrea Martinelli, John Lygeros:
Control of Networked Systems by Clustering: The Degree of Freedom Concept. CoRR abs/2004.10153 (2020) - [i65]Mohammad Khosravi, Varsha Behrunani, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Cascade Control: Data-Driven Tuning Approach Based on Bayesian Optimization. CoRR abs/2005.03970 (2020) - [i64]Ahmed Aboudonia, Annika Eichler, John Lygeros:
Distributed Model Predictive Control with Asymmetric Adaptive Terminal Sets for the Regulation of Large-scale Systems. CoRR abs/2005.04077 (2020) - [i63]Ahmed Aboudonia, Annika Eichler, John Lygeros:
Distributed Model Predictive Control with Reconfigurable Terminal Ingredients for Reference Tracking. CoRR abs/2007.00427 (2020) - [i62]Benjamin Flamm, Guillermo Ramos, Annika Eichler, John Lygeros:
Multiperiod Stochastic Peak Shaving Using Storage. CoRR abs/2007.02928 (2020) - [i61]Mohammad Khosravi, Varsha Behrunani, Piotr Myszkorowski, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Performance-Driven Cascade Controller Tuning with Bayesian Optimization. CoRR abs/2007.12536 (2020) - [i60]Felix Bünning, Joseph Warrington, Philipp Heer, Roy S. Smith, John Lygeros:
Machine learning and robust MPC for frequency regulation with heat pumps. CoRR abs/2009.06920 (2020) - [i59]Christopher König, Mohammad Khosravi, Markus Maier, Roy S. Smith, Alisa Rupenyan, John Lygeros:
Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization. CoRR abs/2010.15211 (2020) - [i58]Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros:
Input Convex Neural Networks for Building MPC. CoRR abs/2011.13227 (2020) - [i57]Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. CoRR abs/2011.13332 (2020) - [i56]Alexandros Tanzanakis, John Lygeros:
Constrained Optimal Tracking Control of Unknown Systems: A Multi-Step Linear Programming Approach. CoRR abs/2012.04318 (2020) - [i55]Linbin Huang, Jianzhe Zhen, John Lygeros, Florian Dörfler:
Quadratic Regularization of Data-Enabled Predictive Control: Theory and Application to Power Converter Experiments. CoRR abs/2012.04434 (2020) - 2019
- [i54]Paul N. Beuchat, Joseph Warrington, John Lygeros:
Accelerated point-wise maximum approach to approximate dynamic programming. CoRR abs/1901.03619 (2019) - [i53]Angel Romero, Paul N. Beuchat, Yvonne R. Sturz, Roy S. Smith, John Lygeros:
Nonlinear Control of Quadcopters via Approximate Dynamic Programming. CoRR abs/1902.06551 (2019) - [i52]Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Enabled Predictive Control for Grid-Connected Power Converters. CoRR abs/1903.07339 (2019) - [i51]Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart:
AMZ Driverless: The Full Autonomous Racing System. CoRR abs/1905.05150 (2019) - [i50]Alexander Liniger, Luca Varano, Alisa Rupenyan, John Lygeros:
Real-Time Predictive Control for Precision Machining. CoRR abs/1908.10609 (2019) - [i49]Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium with Inertia in Population Games. CoRR abs/1910.00220 (2019) - [i48]Linbin Huang, Jeremy Coulson, John Lygeros, Florian Dörfler:
Data-Driven Wide-Area Control. CoRR abs/1911.12151 (2019) - 2018
- [i47]Dario Paccagnan, Francesca Parise, John Lygeros:
On the Efficiency of Nash Equilibria in Charging Games. CoRR abs/1803.02583 (2018) - [i46]Georgios Darivianakis, Annika Eichler, John Lygeros:
Distributed Model Predictive Control for Linear Systems with Adaptive Terminal Sets. CoRR abs/1803.07651 (2018) - [i45]Georgios Darivianakis, Angelos Georghiou, John Lygeros:
Decentralized decision making for networks of uncertain systems. CoRR abs/1803.07660 (2018) - [i44]Fabian L. Müller, Stefan Woerner, John Lygeros:
Ramp-Rate-Constrained Bidding of Energy and Frequency Reserves in Real Market Settings. CoRR abs/1804.03892 (2018) - [i43]Ashish Ranjan Hota, Ashish Cherukuri, John Lygeros:
Data-Driven Chance Constrained Optimization under Wasserstein Ambiguity Sets. CoRR abs/1805.06729 (2018) - [i42]Fabian L. Müller, Stefan Woerner, John Lygeros:
Unlocking the Potential of Flexible Energy Resources to Help Balance the Power Grid. CoRR abs/1806.08237 (2018) - [i41]Bianca-Cristina Cristescu, Zalán Borsos, John Lygeros, María Rodríguez Martínez, Maria Anna Rapsomaniki:
Inference of the three-dimensional chromatin structure and its temporal behavior. CoRR abs/1811.09619 (2018) - 2017
- [i40]Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros:
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR abs/1701.06379 (2017) - [i39]Alexander Liniger, John Lygeros:
Real-Time Control for Autonomous Racing Based on Viability Theory. CoRR abs/1701.08735 (2017) - [i38]Basilio Gentile, Francesca Parise, Dario Paccagnan, Maryam Kamgarpour, John Lygeros:
Nash and Wardrop equilibria in aggregative games with coupling constraints. CoRR abs/1702.08789 (2017) - [i37]Alain Y. Kibangou, Alexander Artikis, Evangelos Michelioudakis, Georgios Paliouras, Marius Schmitt, John Lygeros, Chris Baber, Natan Morar, Fabiana Fournier, Inna Skarbovsky:
An Integrated and Scalable Platform for Proactive Event-Driven Traffic Management. CoRR abs/1703.02810 (2017) - [i36]Angeliki Kamoutsi, Tobias Sutter, Peyman Mohajerin Esfahani, John Lygeros:
On Infinite Linear Programming and the Moment Approach to Deterministic Infinite Horizon Discounted Optimal Control Problems. CoRR abs/1703.09005 (2017) - [i35]Francesca Parise, Maria Elena Valcher, John Lygeros:
Computing the projected reachable set of switched affine systems: an application to systems biology. CoRR abs/1705.00400 (2017) - [i34]Fabian L. Mueller, Jácint Szabó, Olle Sundström, John Lygeros:
Aggregation and Disaggregation of Energetic Flexibility from Distributed Energy Resources. CoRR abs/1705.02815 (2017) - [i33]Francesca Parise, Basilio Gentile, John Lygeros:
A distributed algorithm for average aggregative games with coupling constraints. CoRR abs/1706.04634 (2017) - [i32]Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros:
Generalized maximum entropy estimation. CoRR abs/1708.07311 (2017) - [i31]Alexander Liniger, John Lygeros:
A Non-Cooperative Game Approach to Autonomous Racing. CoRR abs/1712.03913 (2017) - 2016
- [i30]Paul Beuchat, Angelos Georghiou, John Lygeros:
Approximate Dynamic Programming: a $\mathcal{Q}$-Function Approach. CoRR abs/1602.07273 (2016) - [i29]Chithrupa Ramesh, Marius Schmitt, John Lygeros:
Distributed Learning in the Presence of Disturbances. CoRR abs/1603.09258 (2016) - [i28]Georgios Darivianakis, Angelos Georghiou, Roy S. Smith, John Lygeros:
The Power of Diversity: Data-Driven Robust Predictive Control for Energy Efficient Buildings and Districts. CoRR abs/1607.05441 (2016) - 2015
- [i27]Xiaojing Zhang, Sergio Grammatico, Georg Schildbach, Paul Goulart, John Lygeros:
On the Sample Size of Random Convex Programs with Structured Dependence on the Uncertainty. CoRR abs/1502.00803 (2015) - [i26]Tobias Sutter, David Sutter, John Lygeros:
Asymptotic Capacity of a Random Channel. CoRR abs/1503.04108 (2015) - [i25]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
Upper bounds for the reach-avoid probability via robust optimization. CoRR abs/1506.03371 (2015) - [i24]Francesca Parise, Sergio Grammatico, Basilio Gentile, John Lygeros:
Network Aggregative Games and Distributed Mean Field Control via Consensus Theory. CoRR abs/1506.07719 (2015) - [i23]Andreas B. Hempel, Paul J. Goulart, John Lygeros:
Continuous Optimality Conditions for Constrained Optimal Control of Hybrid Systems. CoRR abs/1507.02878 (2015) - [i22]Xiaojing Zhang, Maryam Kamgarpour, Angelos Georghiou, John Lygeros:
Robust Optimal Control with Adjustable Uncertainty Sets. CoRR abs/1511.04700 (2015) - 2014
- [i21]Sergio Grammatico, Xiaojing Zhang, Kostas Margellos, Paul Goulart, John Lygeros:
A scenario approach for non-convex control design. CoRR abs/1401.2200 (2014) - [i20]Kostas Margellos, Maria Prandini, John Lygeros:
On the connection between compression learning and scenario based optimization. CoRR abs/1403.0950 (2014) - [i19]Fabrizio L. Cortesi, Tyler H. Summers, John Lygeros:
Submodularity of Energy Related Controllability Metrics. CoRR abs/1403.6351 (2014) - [i18]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
On Submodularity and Controllability in Complex Dynamical Networks. CoRR abs/1404.7665 (2014) - [i17]Tobias Sutter, David Sutter, Peyman Mohajerin Esfahani, John Lygeros:
Efficient Approximation of Channel Capacities. CoRR abs/1407.7629 (2014) - [i16]Peyman Mohajerin Esfahani, John Lygeros:
A Tractable Fault Detection and Isolation Approach for Nonlinear Systems with Probabilistic Performance. CoRR abs/1408.1767 (2014) - [i15]Sergio Grammatico, Francesca Parise, Marcello Colombino, John Lygeros:
Decentralized Convergence to Nash Equilibria in Constrained Mean Field Control. CoRR abs/1410.4421 (2014) - [i14]Tyler H. Summers, Iman Shames, John Lygeros, Florian Dörfler:
Topology Design for Optimal Network Coherence. CoRR abs/1411.4884 (2014) - [i13]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. CoRR abs/1411.5925 (2014) - [i12]Nikolaos Kariotoglou, Kostas Margellos, John Lygeros:
On the computational complexity and generalization properties of multi-stage and recursive scenario programs. CoRR abs/1412.4203 (2014) - 2013
- [i11]Majid Zamani, Peyman Mohajerin Esfahani, Rupak Majumdar, Alessandro Abate, John Lygeros:
Symbolic control of stochastic systems via approximately bisimilar finite abstractions. CoRR abs/1302.3868 (2013) - [i10]Debasish Chatterjee, John Lygeros:
Stability and performance of stochastic predictive control. CoRR abs/1304.2581 (2013) - [i9]Tyler H. Summers, John Lygeros:
Optimal Sensor and Actuator Placement in Complex Dynamical Networks. CoRR abs/1306.2491 (2013) - [i8]Peyman Mohajerin Esfahani, Tobias Sutter, John Lygeros:
Performance Bounds for the Scenario Approach and an Extension to a Class of Non-convex Programs. CoRR abs/1307.0345 (2013) - 2012
- [i7]Tobias Sutter, Debasish Chatterjee, Federico Ramponi, John Lygeros:
Isospectral flows on a class of finite-dimensional Jacobi matrices. CoRR abs/1202.1618 (2012) - [i6]Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros:
On Stochastic Reach-Avoid Problem and Set Characterization for Diffusions. CoRR abs/1202.4375 (2012) - [i5]Peyman Mohajerin Esfahani, Debasish Chatterjee, John Lygeros:
Motion Planning via Optimal Control for Stochastic Processes. CoRR abs/1211.1138 (2012) - [i4]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate Dynamic Programming via Sum of Squares Programming. CoRR abs/1212.1269 (2012) - [i3]Tyler H. Summers, John Lygeros:
Distributed Model Predictive Consensus via the Alternating Direction Method of Multipliers. CoRR abs/1212.1296 (2012) - 2011
- [i2]Debasish Chatterjee, Peter Hokayem, Federico Ramponi, John Lygeros:
On mean-square boundedness of stochastic linear systems with quantized observations. CoRR abs/1103.4959 (2011) - 2009
- [i1]Federico Ramponi, Debasish Chatterjee, Sean Summers, John Lygeros:
On the connections between PCTL and Dynamic Programming. CoRR abs/0910.4738 (2009)
Coauthor Index
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