Panagiotis Petsagkourakis

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 24

Top Topics

Gaussian Process

Reinforcement Learning

Chance Constrained

Model Predictive Control

Top Venues

Comput. Chem. Eng.

Publications

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 (2023)
Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
An efficient data-driven distributionally robust MPC leveraging linear programming. ACC (2023)
Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
Tube-based Distributionally Robust Model Predictive Control for Nonlinear Process Systems via Linearization. CoRR (2022)
Ilya Orson Sandoval, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona
Neural ODEs as Feedback Policies for Nonlinear Optimal Control. CoRR (2022)
Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang
Safe chance constrained reinforcement learning for batch process control. Comput. Chem. Eng. 157 (2022)
Steven Sachio, Max Mowbray, Maria M. Papathanasiou, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
Integrating process design and control using reinforcement learning. CoRR (2021)
Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
Data-driven distributionally robust MPC using the Wasserstein metric. CoRR (2021)
Panagiotis Petsagkourakis, Federico Galvanin
Safe model-based design of experiments using Gaussian processes. Comput. Chem. Eng. 151 (2021)
Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang
Safe Chance Constrained Reinforcement Learning for Batch Process Control. CoRR (2021)
Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
Constrained model-free reinforcement learning for process optimization. Comput. Chem. Eng. 154 (2021)
Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes. CDC (2021)
Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat
Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation. Comput. Chem. Eng. 147 (2021)
Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona
Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes. CoRR (2021)
Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos
Robust Stability of Barrier-Based Model Predictive Control. IEEE Trans. Autom. Control. 66 (4) (2021)
Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. CoRR (2020)
Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona
Constrained Model-Free Reinforcement Learning for Process Optimization. CoRR (2020)
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 (2020)
Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
Reinforcement learning for batch bioprocess optimization. Comput. Chem. Eng. 133 (2020)
Panagiotis Petsagkourakis, Federico Galvanin
Safe model-based design of experiments using Gaussian processes. CoRR (2020)
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 (2020)
Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos
Stability analysis of piecewise affine systems with multi-model predictive control. Autom. 111 (2020)
Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos
Input-Output Stability of Barrier-Based Model Predictive Control. CoRR (2019)
Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
Reinforcement Learning for Batch Bioprocess Optimization. CoRR (2019)
Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos
Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control. CoRR (2018)