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ORCIDDraguna L. Vrabie
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2020 – today
- 2024
[j8]Ján Drgona
, Aaron Tuor, Draguna L. Vrabie:
Learning Constrained Parametric Differentiable Predictive Control Policies With Guarantees. IEEE Trans. Syst. Man Cybern. Syst. 54(6): 3596-3607 (2024)- [i24]James Koch, Madelyn Shapiro, Himanshu Sharma, Draguna L. Vrabie, Ján Drgona:
Neural Differential Algebraic Equations. CoRR abs/2403.12938 (2024) - [i23]Renukanandan Tumu, Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Sonja Glavaski:
Differentiable Predictive Control for Large-Scale Urban Road Networks. CoRR abs/2406.10433 (2024) - [i22]John Viljoen, Wenceslao Shaw-Cortez, Ján Drgona, Sebastian East, Masayoshi Tomizuka, Draguna L. Vrabie:
Differentiable Predictive Control for Robotics: A Data-Driven Predictive Safety Filter Approach. CoRR abs/2409.13817 (2024) - 2023
- [j7]James A. Ang, Kevin J. Barker, Draguna L. Vrabie, Gokcen Kestor:
Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads. IEEE Internet Comput. 27(1): 7-14 (2023) - [c30]Damoon Soudbakhsh, Anuradha M. Annaswamy, Yan Wang, Steven L. Brunton, Joseph E. Gaudio, Heather S. Hussain, Draguna L. Vrabie, Ján Drgona, Dimitar P. Filev:
Data-Driven Control: Theory and Applications. ACC 2023: 1922-1939 - [c29]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. ACC 2023: 3735-3750 - [c28]Himanshu Sharma, Joshua D. Suetterlein, Sumathi Lakshmiranganatha, Thomas Flynn, Draguna L. Vrabie, Christine Sweeney, Vinay Ramakrishnaiah:
EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems. e-Energy (Companion) 2023: 134-139 - [i21]Truong X. Nghiem, Ján Drgona, Colin N. Jones, Zoltán Nagy, Roland Schwan, Biswadip Dey, Ankush Chakrabarty, Stefano Di Cairano, Joel A. Paulson, Andrea Carron, Melanie N. Zeilinger, Wenceslao Shaw-Cortez, Draguna L. Vrabie:
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems. CoRR abs/2306.13867 (2023) - [i20]Wenceslao Shaw-Cortez, Ján Drgona, Draguna L. Vrabie, Mahantesh Halappanavar:
Robust Differentiable Predictive Control with Safety Guarantees: A Predictive Safety Filter Approach. CoRR abs/2311.08496 (2023) - 2022
- [c27]Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie:
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. ACC 2022: 2194-2201 - [c26]Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CDC 2022: 932-938 - [c25]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Neural Lyapunov Differentiable Predictive Control. CDC 2022: 2097-2104 - [c24]Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie:
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. ECC 2022: 552-559 - [c23]Sayak Mukherjee, Sai Pushpak Nandanoori, Sheng Guan, Khushbu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L. Vrabie, Sutanay Choudhury:
Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems. LoG 2022: 45 - [i19]Ján Drgona, Sayak Mukherjee, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Learning Stochastic Parametric Differentiable Predictive Control Policies. CoRR abs/2203.01447 (2022) - [i18]Ethan King, Ján Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna L. Vrabie:
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem. CoRR abs/2203.08984 (2022) - [i17]Subhrajit Sinha, Sai Pushpak Nandanoori, Ján Drgona, Draguna L. Vrabie:
Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach. CoRR abs/2203.14114 (2022) - [i16]Sayak Mukherjee, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Neural Lyapunov Differentiable Predictive Control. CoRR abs/2205.10728 (2022) - [i15]James Koch, Zhao Chen, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Structural Inference of Networked Dynamical Systems with Universal Differential Equations. CoRR abs/2207.04962 (2022) - [i14]Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. CoRR abs/2208.02319 (2022) - [i13]Wenceslao Shaw-Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. CoRR abs/2208.07333 (2022) - 2021
- [j6]Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie:
Metagames and Hypergames for Deception-Robust Control. ACM Trans. Cyber Phys. Syst. 5(3): 23:1-23:25 (2021) - [c22]Soumya Vasisht, Arnab Bhattacharya, Sen Huang, Himanshu Sharma, Veronica Adetola, Draguna L. Vrabie:
Co-Design of Commercial Building HVAC using Bayesian Optimization. ACC 2021: 366-372 - [c21]Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Constrained Block Nonlinear Neural Dynamical Models. ACC 2021: 3993-4000 - [c20]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. ACC 2021: 4171-4177 - [i12]Elliott Skomski, Soumya Vasisht, Colby Wight, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Constrained Block Nonlinear Neural Dynamical Models. CoRR abs/2101.01864 (2021) - [i11]Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna L. Vrabie:
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads. CoRR abs/2103.11485 (2021) - [i10]Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - [i9]Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian, Umesh Vaidya, Draguna L. Vrabie, Karanjit Kalsi:
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees. CoRR abs/2106.14143 (2021) - [i8]Ján Drgona, Aaron Tuor, Soumya Vasisht, Elliott Skomski, Draguna L. Vrabie:
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings. CoRR abs/2107.11843 (2021) - 2020
- [j5]Ján Drgona, Javier Arroyo, Iago Cupeiro Figueroa, David H. Blum, Krzysztof Arendt, Donghun Kim, Enric Perarnau Ollé, Juraj Oravec, Michael Wetter, Draguna L. Vrabie, Lieve Helsen:
All you need to know about model predictive control for buildings. Annu. Rev. Control. 50: 190-232 (2020) - [j4]Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie:
Learning and Information Manipulation: Repeated Hypergames for Cyber-Physical Security. IEEE Control. Syst. Lett. 4(2): 295-300 (2020) - [j3]Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie:
Hypergames and Cyber-Physical Security for Control Systems. ACM Trans. Cyber Phys. Syst. 4(4): 45:1-45:41 (2020) - [c19]Indrasis Chakraborty, Yan Chen, Jing Li, Draguna L. Vrabie:
Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy 2020: 445-453 - [i7]Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Constrained Neural Ordinary Differential Equations with Stability Guarantees. CoRR abs/2004.10883 (2020) - [i6]Ján Drgona, Aaron Tuor, Draguna L. Vrabie:
Constrained Physics-Informed Deep Learning for Stable System Identification and Control of Unknown Linear Systems. CoRR abs/2004.11184 (2020) - [i5]Ján Drgona, Karol Kis, Aaron Tuor, Draguna L. Vrabie, Martin Klauco:
Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning. CoRR abs/2011.03699 (2020) - [i4]Ján Drgona, Aaron Randall Tuor, Vikas Chandan, Draguna L. Vrabie:
Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics. CoRR abs/2011.05987 (2020) - [i3]Ján Drgona, Elliott Skomski, Soumya Vasisht, Aaron Tuor, Draguna L. Vrabie:
Spectral Analysis and Stability of Deep Neural Dynamics. CoRR abs/2011.13492 (2020)
2010 – 2019
- 2019
- [c18]Indrasis Chakraborty, Vikas Chandan, Draguna L. Vrabie:
A sequential DNN based Baseline Energy Prediction Framework with Long term Error Mitigation. e-Energy 2019: 508-515 - [c17]Jin Dong, Thiagarajan Ramachandran, Piljae Im, Sen Huang, Vikas Chandan, Draguna L. Vrabie, P. Teja Kuruganti:
Online Learning for Commercial Buildings. e-Energy 2019: 522-530 - [c16]Yangyang Fu, Sen Huang, Draguna L. Vrabie, Wangda Zuo:
Coupling Power System Dynamics and Building Dynamics to Enabling Building-to-Grid Integration. Modelica 2019: 157:057 - 2018
- [c15]Soumya Kundu, Thiagarajan Ramachandran, Yan Chen, Draguna L. Vrabie:
Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis. CCTA 2018: 230-236 - [c14]Sai Pushpak Nandanoori, Soumya Kundu, Draguna L. Vrabie, Karan Kalsi, Jianming Lian:
Prioritized Threshold Allocation for Distributed Frequency Response. CCTA 2018: 237-244 - [c13]Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie:
Generative Adversarial Network based Autoencoder: Application to Fault Detection Problem for Closed Loop Dynamical Systems. DX@Safeprocess 2018 - [i2]Indrasis Chakraborty, Rudrasis Chakraborty, Draguna L. Vrabie:
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems. CoRR abs/1804.05320 (2018) - [i1]Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Draguna L. Vrabie:
Hypergames and Cyber-Physical Security for Control Systems. CoRR abs/1809.02240 (2018) - 2017
- [c12]Thiagarajan Ramachandran, Soumya Kundu, Yan Chen, Draguna L. Vrabie:
Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. ACC 2017: 2925-2930 - [c11]Javier Rubio-Herrero, Vikas Chandan, Charles Siegel, Abhinav Vishnu, Draguna L. Vrabie:
A Learning Framework for Control-Oriented Modeling of Buildings. ICMLA 2017: 473-478 - 2011
- [c10]Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis:
Online adaptive learning of optimal control solutions using integral reinforcement learning. ADPRL 2011: 250-257 - [c9]Sorin C. Bengea, Veronica Adetola, Keunmo Kang, Michael J. Liba, Draguna L. Vrabie, Robert R. Bitmead, Satish Narayanan:
Parameter estimation of a building system model and impact of estimation error on closed-loop performance. CDC/ECC 2011: 5137-5143 - 2010
- [c8]Draguna L. Vrabie, Frank L. Lewis:
Integral Reinforcement Learning for online computation of feedback Nash strategies of nonzero-sum differential games. CDC 2010: 3066-3071 - [c7]Draguna L. Vrabie, Frank L. Lewis:
Adaptive Dynamic Programming algorithm for finding online the equilibrium solution of the two-player zero-sum differential game. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j2]Draguna L. Vrabie, Octavian C. Pastravanu, Murad Abu-Khalaf, Frank L. Lewis:
Adaptive optimal control for continuous-time linear systems based on policy iteration. Autom. 45(2): 477-484 (2009) - [j1]Draguna L. Vrabie, Frank L. Lewis:
Neural network approach to continuous-time direct adaptive optimal control for partially unknown nonlinear systems. Neural Networks 22(3): 237-246 (2009) - [c6]Kyriakos G. Vamvoudakis, Draguna L. Vrabie, Frank L. Lewis:
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem. ADPRL 2009: 36-41 - [c5]Draguna L. Vrabie, Frank L. Lewis:
Generalized Policy Iteration for continuous-time systems. IJCNN 2009: 3224-3231 - 2008
- [c4]Draguna L. Vrabie, Frank L. Lewis:
Adaptive optimal control algorithm for continuous-time nonlinear systems based on policy iteration. CDC 2008: 73-79 - [c3]Draguna L. Vrabie, Frank L. Lewis, Daniel S. Levine:
Neural Network-Based Adaptive Optimal Controller - A Continuous-Time Formulation. ICIC (3) 2008: 276-285 - 2007
- [c2]Asma Al-Tamimi, Draguna L. Vrabie, Murad Abu-Khalaf, Frank L. Lewis:
Model-free Approximate Dynamic Programming Schemes for Linear Systems. IJCNN 2007: 371-378 - 2004
- [c1]Corneliu Lazar, Sorin Carari, Draguna L. Vrabie, Marius Kloetzer:
Neuro-predictive control based self-tuning of PID controllers. ESANN 2004: 391-395
Coauthor Index
aka: Aaron Randall Tuor
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