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

Weinan Gao, Zhong Ping Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5845-5850
Number of pages6
ISBN (Electronic)9781509018376
DOIs
StatePublished - Dec 27 2016
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: Dec 12 2016Dec 14 2016

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other55th IEEE Conference on Decision and Control, CDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1612/14/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Optimization

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