Panagiotis Petsagkourakis

According to our database, Panagiotis Petsagkourakis authored at least 19 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Tube-based distributionally robust model predictive control for nonlinear process systems via linearization.

Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis

Comput. Chem. Eng., February, 2023

An efficient data-driven distributionally robust MPC leveraging linear programming.

Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis

Proceedings of the American Control Conference, 2023

2022

Neural ODEs as Feedback Policies for Nonlinear Optimal Control.

Ilya Orson Sandoval, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona

CoRR, 2022

Safe chance constrained reinforcement learning for batch process control.

Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang

Comput. Chem. Eng., 2022

2021

Robust Stability of Barrier-Based Model Predictive Control.

Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos

IEEE Trans. Autom. Control., 2021

Integrating process design and control using reinforcement learning.

Steven Sachio, Max Mowbray, Maria M. Papathanasiou, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis

CoRR, 2021

Data-driven distributionally robust MPC using the Wasserstein metric.

Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis

CoRR, 2021

Safe Chance Constrained Reinforcement Learning for Batch Process Control.

Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang

CoRR, 2021

Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation.

Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat

Comput. Chem. Eng., 2021

Safe model-based design of experiments using Gaussian processes.

Panagiotis Petsagkourakis, Federico Galvanin

Comput. Chem. Eng., 2021

Constrained model-free reinforcement learning for process optimization.

Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

Comput. Chem. Eng., 2021

Safe Real-Time Optimization using Multi-Fidelity Gaussian Processes.

Panagiotis Petsagkourakis, Benoît Chachuat, Ehecatl Antonio del Rio-Chanona

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Modifier Adaptation Meets Bayesian Optimization and Derivative-Free Optimization.

Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis, Eric Bradford, Jose Eduardo Alves Graciano, Benoît Chachuat

CoRR, 2020

Chance Constrained Policy Optimization for Process Control and Optimization.

Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 2020

Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty.

Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 2020

Reinforcement learning for batch bioprocess optimization.

Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

Comput. Chem. Eng., 2020

Stability analysis of piecewise affine systems with multi-model predictive control.

Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos

Autom., 2020

2019

Input-Output Stability of Barrier-Based Model Predictive Control.

Panagiotis Petsagkourakis, William Paul Heath, Joaquín Carrasco, Constantinos Theodoropoulos

CoRR, 2019

2018

Stability Analysis of Piecewise Affine Systems with Multi-model Model Predictive Control.

Panagiotis Petsagkourakis, William Paul Heath, Constantinos Theodoropoulos

CoRR, 2018