Adaptive optimal output regulation via output-feedback: An adaptive dynamic programing approach

Abstract

This paper studies the problem of adaptive optimal output regulation for discrete-time linear systems. A data-driven output-feedback control approach is developed via approximate/adaptive dynamic programming (ADP). Different from the existing literature of ADP and output regulation theory, the optimal controller design proposed in this paper does not require the knowledge of the plant and exosystem dynamics. Theoretical analysis and an application on an inverted pendulum system show that the proposed methodology serves as an effective tool for solving adaptive optimal output regulation problems.