2 papers
math.OC2024
Robust model predictive control for large-scale distributed parameter systems under uncertainty
Min Tao, Ioannis Zacharopoulos, Constantinos Theodoropoulos
Control of nonlinear distributed parameter systems (DPS) under uncertainty is a meaningful task for many industrial processes. However, both intrinsic uncertainty and high dimensio…
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…