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2020 – today
- 2024
[j50]Prodromos Daoutidis
, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio-Chanona, Christos Georgakis:
Machine learning in process systems engineering: Challenges and opportunities. Comput. Chem. Eng. 181: 108523 (2024)- [j49]Alexander D. Smith, Steven Schilling, Prodromos Daoutidis:
Automated characterization and monitoring of material shape using Riemannian geometry. Comput. Chem. Eng. 181: 108525 (2024) - [j48]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize. Comput. Chem. Eng. 186: 108686 (2024) - [j47]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose. Comput. Chem. Eng. 186: 108688 (2024) - [j46]Baiwen Kong, Qi Zhang, Prodromos Daoutidis:
Real-Time Operation of a Stand-Alone Microgrid With Green Ammonia Storage. IEEE Trans. Control. Syst. Technol. 32(4): 1463-1470 (2024) - [c33]Ilias Mitrai, Prodromos Daoutidis:
Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control. ACC 2024: 4460-4465 - 2023
- [j45]Prodromos Daoutidis, Larry Megan, Wentao Tang:
The future of control of process systems. Comput. Chem. Eng. 178: 108365 (2023) - [j44]Wentao Tang, Pierre Carrette, Yongsong Cai, John M. Williamson, Prodromos Daoutidis:
Automatic decomposition of large-scale industrial processes for distributed MPC on the Shell-Yokogawa Platform for Advanced Control and Estimation (PACE). Comput. Chem. Eng. 178: 108382 (2023) - [c32]Wentao Tang, Andrew Allman, Ilias Mitrai, Prodromos Daoutidis:
Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review. ACC 2023: 3113-3129 - [c31]Baiwen Kong, Qi Zhang, Prodromos Daoutidis:
Dynamic Optimization and Control of a Renewable Microgrid Incorporating Ammonia. ACC 2023: 3803-3808 - [c30]Wentao Tang, Prodromos Daoutidis:
Optimal Design of Control-Lyapunov Functions by Semi-Infinite Stochastic Programming. CDC 2023: 7277-7284 - [i5]Alexander Smith, Steven Schilling, Prodromos Daoutidis:
Automated Characterization and Monitoring of Material Shape using Riemannian Geometry. CoRR abs/2309.08580 (2023) - [i4]Ilias Mitrai, Prodromos Daoutidis:
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition. CoRR abs/2309.16508 (2023) - [i3]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose. CoRR abs/2310.07068 (2023) - [i2]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize. CoRR abs/2310.07082 (2023) - 2022
- [j43]Ilias Mitrai, Prodromos Daoutidis:
A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems. Comput. Chem. Eng. 164: 107859 (2022) - [j42]Matthew J. Palys, Prodromos Daoutidis:
Power-to-X: A review and perspective. Comput. Chem. Eng. 165: 107948 (2022) - [c29]Wentao Tang, Prodromos Daoutidis:
Data-Driven Control: Overview and Perspectives *. ACC 2022: 1048-1064 - 2021
- [j41]Wentao Tang, Prodromos Daoutidis:
Nonlinear state and parameter estimation using derivative information: A Lie-Sobolev approach. Comput. Chem. Eng. 151: 107369 (2021) - [j40]Wentao Tang, Prodromos Daoutidis:
Coordinating distributed MPC efficiently on a plantwide scale: The Lyapunov envelope algorithm. Comput. Chem. Eng. 155: 107532 (2021) - [j39]Wentao Tang, Prodromos Daoutidis:
Dissipativity learning control (DLC): Theoretical foundations of input-output data-driven model-free control. Syst. Control. Lett. 147: 104831 (2021) - [c28]Ilias Mitrai, Catherine Stamoulis, Prodromos Daoutidis:
A sparse H∞ controller synthesis perspective on the reconfiguration of brain networks. ACC 2021: 1204-1209 - 2020
- [j38]Matthew J. Palys, Prodromos Daoutidis:
Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study. Comput. Chem. Eng. 136: 106785 (2020) - [j37]Shaaz Khatib, Prodromos Daoutidis:
Multiple Hotelling's T2 tests for distributed fault detection of large-scale systems. Comput. Chem. Eng. 136: 106807 (2020) - [j36]Shaaz Khatib, Prodromos Daoutidis:
Application of graph theory and filter based variable selection methods in the design of a distributed data-driven monitoring system. Comput. Chem. Eng. 143: 107098 (2020) - [i1]Wentao Tang, Prodromos Daoutidis:
Fast and Stable Nonconvex Constrained Distributed Optimization: The ELLADA Algorithm. CoRR abs/2004.01977 (2020)
2010 – 2019
- 2019
- [j35]Wentao Tang, Prodromos Daoutidis:
Dissipativity learning control (DLC): A framework of input-output data-driven control. Comput. Chem. Eng. 130 (2019) - [j34]Wentao Tang, Prodromos Daoutidis:
A Bilevel Programming Approach to the Convergence Analysis of Control-Lyapunov Functions. IEEE Trans. Autom. Control. 64(10): 4174-4179 (2019) - [c27]Wentao Tang, Prodromos Daoutidis:
Distributed nonlinear model predictive control through accelerated parallel ADMM. ACC 2019: 1406-1411 - [c26]Wentao Tang, Prodromos Daoutidis:
Input-output data-driven control through dissipativity learning. ACC 2019: 4217-4222 - 2018
- [j33]Wentao Tang, Andrew Allman, Davood Babaei Pourkargar, Prodromos Daoutidis:
Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection. Comput. Chem. Eng. 111: 43-54 (2018) - [j32]Prodromos Daoutidis, Wentao Tang, Sujit S. Jogwar:
Decomposing complex plants for distributed control: Perspectives from network theory. Comput. Chem. Eng. 114: 43-51 (2018) - [j31]Prodromos Daoutidis, Jay H. Lee, Iiro Harjunkoski, Sigurd Skogestad, Michael Baldea, Christos Georgakis:
Integrating operations and control: A perspective and roadmap for future research. Comput. Chem. Eng. 115: 179-184 (2018) - [j30]Wentao Tang, Andrew Allman, Davood Babaei Pourkargar, Prodromos Daoutidis:
Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection. Comput. Chem. Eng. 116: 144-155 (2018) - [j29]Wentao Tang, Prodromos Daoutidis:
Distributed adaptive dynamic programming for data-driven optimal control. Syst. Control. Lett. 120: 36-43 (2018) - [c25]Wentao Tang, Prodromos Daoutidis:
The role of community structures in sparse feedback control. ACC 2018: 1790-1795 - [c24]Manjiri Moharir, Davood Babaei Pourkargar, Ali Almansoori, Prodromos Daoutidis:
Decomposition and Distributed Control of Integrated Lumped and Distributed Parameter Process Networks. CDC 2018: 2908-2913 - 2017
- [j28]Abdulla Malek, Nahla Alamoodi, Ali S. Almansoori, Prodromos Daoutidis:
Optimal dynamic operation of microalgae cultivation coupled with recovery of flue gas CO2 and waste heat. Comput. Chem. Eng. 105: 317-327 (2017) - [j27]Manjiri Moharir, Lixia Kang, Prodromos Daoutidis, Ali S. Almansoori:
Graph representation and decomposition of ODE/hyperbolic PDE systems. Comput. Chem. Eng. 106: 532-543 (2017) - [j26]Michael Zachar, Prodromos Daoutidis:
Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling. IEEE Trans. Smart Grid 8(1): 178-189 (2017) - [c23]Lixia Kang, Manjiri Moharir, Ali S. Almansoori, Prodromos Daoutidis:
Modularity-based control structure selection for process networks: An extension to distributed parameter systems. ACC 2017: 1145-1150 - 2016
- [j25]Udit Gupta, Seongmin Heo, Aditya Bhan, Prodromos Daoutidis:
Time scale decomposition in complex reaction systems: A graph theoretic analysis. Comput. Chem. Eng. 95: 170-181 (2016) - [j24]Nahla Alamoodi, Prodromos Daoutidis:
Nonlinear Decoupling Control With Deadtime Compensation for Multirange Operation of Steam Power Plants. IEEE Trans. Control. Syst. Technol. 24(1): 341-348 (2016) - 2015
- [j23]Sujit S. Jogwar, Srinivas Rangarajan, Prodromos Daoutidis:
Reduction of complex energy-integrated process networks using graph theory. Comput. Chem. Eng. 79: 46-58 (2015) - [j22]Michael Zachar, Milana Trifkovic, Prodromos Daoutidis:
Policy effects on microgrid economics, technology selection, and environmental impact. Comput. Chem. Eng. 81: 364-375 (2015) - [c22]Seongmin Heo, Prodromos Daoutidis:
Input/output hierarchical clustering in process networks based on relative degrees. ACC 2015: 1363-1368 - 2014
- [j21]Srinivas Rangarajan, Ted Kaminski, Eric Van Wyk, Aditya Bhan, Prodromos Daoutidis:
Language-oriented rule-based reaction network generation and analysis: Algorithms of RING. Comput. Chem. Eng. 64: 124-137 (2014) - [j20]Milana Trifkovic, Mehdi Sheikhzadeh, Khaled Nigim, Prodromos Daoutidis:
Modeling and Control of a Renewable Hybrid Energy System With Hydrogen Storage. IEEE Trans. Control. Syst. Technol. 22(1): 169-179 (2014) - 2013
- [j19]Prodromos Daoutidis, Don Bartusiak:
Perspective on CPC VIII. Comput. Chem. Eng. 51: 1-3 (2013) - [c21]Fernando V. Lima, Rishi Amrit, Michael Tsapatsis, Prodromos Daoutidis:
Nonlinear model predictive control of IGCC plants with membrane reactors for carbon capture. ACC 2013: 3747-3752 - [c20]Milana Trifkovic, W. A. Marvin, M. Sheikhzadehy, Prodromos Daoutidis:
Dynamic real-time optimization and control of a hybrid energy system. ECC 2013: 2669-2674 - [c19]Seongmin Heo, Dimitrios Georgis, Prodromos Daoutidis:
Control structure design for complex energy integrated networks using graph-theoretic methods. MED 2013: 477-482 - 2012
- [j18]Ana Inés Torres, Michael Tsapatsis, Prodromos Daoutidis:
Biomass to chemicals: Design of an extractive-reaction process for the production of 5-hydroxymethylfurfural. Comput. Chem. Eng. 42: 130-137 (2012) - [j17]Srinivas Rangarajan, Aditya Bhan, Prodromos Daoutidis:
Language-oriented rule-based reaction network generation and analysis: Description of RING. Comput. Chem. Eng. 45: 114-123 (2012) - [j16]Srinivas Rangarajan, Aditya Bhan, Prodromos Daoutidis:
Language-oriented rule-based reaction network generation and analysis: Applications of RING. Comput. Chem. Eng. 46: 141-152 (2012) - [c18]Dimitrios Georgis, Fernando V. Lima, Ali S. Almansoori, Prodromos Daoutidis:
Modeling and control of a water gas shift membrane reactor for hydrogen production. ACC 2012: 4287-4292 - [c17]Milana Trifkovic, Mehdi Sheikhzadeh, Khaled Nigim, Prodromos Daoutidis:
Hierarchical control of a renewable hybrid energy system. CDC 2012: 6376-6381 - [c16]Seongmin Heo, Sujit S. Jogwar, Srinivas Rangarajan, Prodromos Daoutidis:
Graph reduction for hierarchical control of energy integrated process networks. CDC 2012: 6388-6393 - 2011
- [j15]Konstantinos Biliouris, Prodromos Daoutidis, Yiannis N. Kaznessis:
Stochastic simulations of the tetracycline operon. BMC Syst. Biol. 5: 9 (2011) - [j14]Dimitrios Georgis, Sujit S. Jogwar, Ali S. Almansoori, Prodromos Daoutidis:
Design and control of energy integrated SOFC systems for in situ hydrogen production and power generation. Comput. Chem. Eng. 35(9): 1691-1704 (2011) - [j13]Marie-Nathalie Contou-Carrere, Vassilios Sotiropoulos, Yiannis N. Kaznessis, Prodromos Daoutidis:
Model reduction of multi-scale chemical Langevin equations. Syst. Control. Lett. 60(1): 75-86 (2011) - [c15]Dimitrios Georgis, Sujit S. Jogwar, Ali S. Almansoori, Prodromos Daoutidis:
Control of an energy integrated solid oxide fuel cell system. ACC 2011: 1518-1523 - 2010
- [j12]Sujit S. Jogwar, Michael Baldea, Prodromos Daoutidis:
Tight energy integration: Dynamic impact and control advantages. Comput. Chem. Eng. 34(9): 1457-1466 (2010) - [c14]Sujit S. Jogwar, Prodromos Daoutidis:
Dynamics and control of energy integrated distillation column networks. ACC 2010: 2835-2840
2000 – 2009
- 2009
- [j11]Vassilios Sotiropoulos, Marie-Nathalie Contou-Carrere, Prodromos Daoutidis, Yiannis N. Kaznessis:
Model Reduction of Multiscale Chemical Langevin Equations: A Numerical Case Study. IEEE ACM Trans. Comput. Biol. Bioinform. 6(3): 470-482 (2009) - [c13]Michael Baldea, Monica Zanfir, Prodromos Daoutidis:
Optimal design and observation of counter-current autothermal reactors for the production of hydrogen. ACC 2009: 641-646 - [c12]Sujit S. Jogwar, Prodromos Daoutidis:
Vapor recompression distillation: Multi-scale dynamics and control. ACC 2009: 647-652 - 2008
- [j10]Michael Baldea, Prodromos Daoutidis:
Modeling, dynamics and control of process networks with high energy throughput. Comput. Chem. Eng. 32(9): 1964-1983 (2008) - [j9]Subbarao Varigonda, Tryphon T. Georgiou, Ronald A. Siegel, Prodromos Daoutidis:
Optimal periodic control of a drug delivery system. Comput. Chem. Eng. 32(10): 2256-2262 (2008) - [c11]Sujit S. Jogwar, Michael Baldea, Prodromos Daoutidis:
Dynamics and control of reactor - feed effluent heat exchanger networks. ACC 2008: 1481-1486 - 2007
- [j8]Michael Baldea, Prodromos Daoutidis:
Control of integrated process networks - A multi-time scale perspective. Comput. Chem. Eng. 31(5-6): 426-444 (2007) - 2006
- [c10]Michael Baldea, Prodromos Daoutidis:
Model reduction and control for networked systems with high energy throughput. ACC 2006: 1-6 - [c9]Marie-Nathalie Contou-Carrere, Prodromos Daoutidis:
Decoupling of fast and slow variables in chemical Langevin equations with fast and slow reactions. ACC 2006 - 2005
- [j7]Paul Sonda, Andrew Yeckel, Jeffrey J. Derby, Prodromos Daoutidis:
The feedback control of the vertical Bridgman crystal growth process by crucible rotation: two case studies. Comput. Chem. Eng. 29(4): 887-896 (2005) - [j6]Marie-Nathalie Contou-Carrere, Prodromos Daoutidis:
An output feedback precompensator for nonlinear DAE systems with control-dependent state-space. IEEE Trans. Autom. Control. 50(11): 1831-1835 (2005) - [c8]Ziomara P. Gerdtzen, Prodromos Daoutidis, Wei-Shou Hu:
Non-Linear Model Reduction for Metabolic Networks with Multiple Time-Scales. ISIC 2005: 519-524 - [c7]Marrie-Nathalie Contou-Carrere, Prodromos Daoutidis:
Control of Reaction-Convection Processes with Fast and Slow Reactions. ISIC 2005: 920-925 - 2004
- [j5]Subbarao Varigonda, Tryphon T. Georgiou, Prodromos Daoutidis:
Numerical solution of the optimal periodic control problem using differential flatness. IEEE Trans. Autom. Control. 49(2): 271-275 (2004) - [c6]Paul Sonda, Andrew Yeckel, Jeffrey J. Derby, Prodromos Daoutidis:
Suppression of flow oscillations in a vertical Bridgman crystal growth system. ACC 2004: 273-278 - [c5]Marie-Nathalie Contou-Carrere, Prodromos Daoutidis:
Dynamic precompensation and output feedback control of integrated process networks. ACC 2004: 2909-2914 - 2003
- [j4]K. Karen Yin, Hongchuan Yang, Prodromos Daoutidis, Gang George Yin:
Simulation of population dynamics using continuous-time finite-state Markov chains. Comput. Chem. Eng. 27(2): 235-249 (2003) - [c4]Marie-Nathalie Contou-Carrere, Prodromos Daoutidis:
Model reduction for reaction-convection processes with fast and slow reactions. ECC 2003: 3299-3304 - 2002
- [c3]Ziomara P. Gerdtzen, Prodromos Daoutidis, Wei-Shou Hu:
Nonlinear model reduction for energy metabolism in Saccharomyces cerevisiae. ACC 2002: 2867-2872 - 2001
- [c2]Subbarao Varigonda, Tryphon T. Georgiou, Prodromos Daoutidis:
A flatness based algorithm for optimal periodic control problems. ACC 2001: 831-836 - [c1]Nishith Vora, Prodromos Daoutidis:
Nonlinear model reduction of reaction systems with multiple time scale dynamics. ACC 2001: 4752-4757
1990 – 1999
- 1998
- [j3]Navneet Kapoor, Andrew R. Teel, Prodromos Daoutidis:
An Anti-Windup Design for Linear Systems with Input Saturation. Autom. 34(5): 559-574 (1998) - 1996
- [j2]Panagiotis D. Christofides, Prodromos Daoutidis:
Compensation of measurable disturbances for two-time-scale nonlinear systems. Autom. 32(11): 1553-1573 (1996) - [j1]Aditya Kumar, Prodromos Daoutidis:
State-space realizations of linear differential-algebraic-equation systems with control-dependent state space. IEEE Trans. Autom. Control. 41(2): 269-274 (1996)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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