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Panagiotis Petsagkourakis
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2020 – today
- 2023
- [j8]Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Tube-based distributionally robust model predictive control for nonlinear process systems via linearization. Comput. Chem. Eng. 170: 108112 (2023) - [c2]Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
An efficient data-driven distributionally robust MPC leveraging linear programming. ACC 2023: 2022-2027 - 2022
- [j7]Max Mowbray
, Panagiotis Petsagkourakis
Safe chance constrained reinforcement learning for batch process control. Comput. Chem. Eng. 157: 107630 (2022) - [i14]Ilya Orson Sandoval, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona:
Neural ODEs as Feedback Policies for Nonlinear Optimal Control. CoRR abs/2210.11245 (2022) - [i13]Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Tube-based Distributionally Robust Model Predictive Control for Nonlinear Process Systems via Linearization. CoRR abs/2211.14595 (2022) - 2021
- [j6]Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation. Comput. Chem. Eng. 147: 107249 (2021) - [j5]Panagiotis Petsagkourakis
Safe model-based design of experiments using Gaussian processes. Comput. Chem. Eng. 151: 107339 (2021) - [j4]Elton Pan
Constrained model-free reinforcement learning for process optimization. Comput. Chem. Eng. 154: 107462 (2021) - [j3]Panagiotis Petsagkourakis
Robust Stability of Barrier-Based Model Predictive Control. IEEE Trans. Autom. Control. 66(4): 1879-1886 (2021) - [c1]Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona:
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes. CDC 2021: 6734-6741 - [i12]Max Mowbray
Safe Chance Constrained Reinforcement Learning for Batch Process Control. CoRR abs/2104.11706 (2021) - [i11]Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Data-driven distributionally robust MPC using the Wasserstein metric. CoRR abs/2105.08414 (2021) - [i10]Steven Sachio, Max Mowbray, Maria M. Papathanasiou, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis:
Integrating process design and control using reinforcement learning. CoRR abs/2108.05242 (2021) - [i9]Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona:
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes. CoRR abs/2111.05589 (2021) - 2020
- [j2]Panagiotis Petsagkourakis
Stability analysis of piecewise affine systems with multi-model predictive control. Autom. 111 (2020) - [j1]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford
Reinforcement learning for batch bioprocess optimization. Comput. Chem. Eng. 133 (2020) - [i8]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. CoRR abs/2006.02750 (2020) - [i7]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Chance Constrained Policy Optimization for Process Control and Optimization. CoRR abs/2008.00030 (2020) - [i6]Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat:
Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization. CoRR abs/2009.08819 (2020) - [i5]Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona:
Constrained Model-Free Reinforcement Learning for Process Optimization. CoRR abs/2011.07925 (2020) - [i4]Panagiotis Petsagkourakis, Federico Galvanin:
Safe model-based design of experiments using Gaussian processes. CoRR abs/2011.10009 (2020)
2010 – 2019
- 2019
- [i3]Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos:
Input-Output Stability of Barrier-Based Model Predictive Control. CoRR abs/1903.03154 (2019) - [i2]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Reinforcement Learning for Batch Bioprocess Optimization. CoRR abs/1904.07292 (2019) - 2018
- [i1]Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos:
Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control. CoRR abs/1808.00307 (2018)
Coauthor Index
aka: Antonio del Rio-Chanona
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