187 citations · 266 across the 4 of their papers we have counts for
4 papers
Robust Tube-based Model Predictive Control with Koopman Operators--Extended Version
Xinglong Zhang, Wei Pan, Riccardo Scattolini +2
Koopman operators are of infinite dimension and capture the characteristics of nonlinear dynamics in a lifted global linear manner. The finite data-driven approximation of Koopman…
Control of Unknown (Linear) Systems with Receding Horizon Learning
Christian Ebenbauer, Fabian Pfitz, Shuyou Yu
A receding horizon learning scheme is proposed to transfer the state of a discrete-time dynamical control system to zero without the need of a system model. Global state convergenc…
Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints
Xinglong Zhang, Jiahang Liu, Xin Xu +2
Robust model predictive control (MPC) is a well-known control technique for model-based control with constraints and uncertainties. In classic robust tube-based MPC approaches, an…
A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems--Extended Version
Xinglong Zhang, Wei Jiang, Shuyou Yu +2
So far, many control algorithms have been developed for singularly perturbed systems. However, in many industrial processes, enforcing closed-loop fast-slow dynamics for peculiarly…