2 papers
eess.SY2025
Data-driven Koopman MPC using Mixed Stochastic-Deterministic Tubes
Zhengang Zhong, Ehecatl Antonio del Rio-Chanona, Panagiotis Petsagkourakis
This paper presents a novel data-driven stochastic MPC design for discrete-time nonlinear systems with additive disturbances by leveraging the Koopman operator and a distributional…
math.OC2024
Model reduction, machine learning based global optimisation for large-scale steady state nonlinear systems
Min Tao, Panagiotis Petsagkourakis, Jie Li +1
Many engineering processes can be accurately modelled using partial differential equations (PDEs), but high dimensionality and non-convexity of the resulting systems pose limitatio…