Abstract: Distributionally robust control (DRC) aims to effectively manage distributional ambiguity in stochastic systems. While most existing works address inaccurate distributional information in ...
The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.
Abstract: This article is devoted to data-driven event-triggered adaptive dynamic programming (ADP) control for nonlinear systems under input saturation. A global optimal data-driven control law is ...