Adaptive Optimal Output Regulation of Discrete-time Linear Systems subject to Input Time-delay

Weinan Gao, Zhong Ping Jiang

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

Abstract

This paper addresses the adaptive optimal output regulation problem of discrete-time linear systems with input time-delay. The state is reconstructed by retrospective input and measurement output. Based on value iteration and adaptive dynamic programming, an approximate optimal controller is learned by online input and output data. Notably, the exact knowledge of the plant and the exosystem is not needed, and the a priori knowledge of an initial admissible control policy is no longer required. Theoretical analysis and an application to a grid-connected inverter show that the proposed data-driven methodology serves as an effective tool for solving adaptive optimal output regulation problems.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4484-4489
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 9 2018
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
Volume2018-June
ISSN (Print)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
CountryUnited States
CityMilwauke
Period6/27/186/29/18

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Gao, W., & Jiang, Z. P. (2018). Adaptive Optimal Output Regulation of Discrete-time Linear Systems subject to Input Time-delay. In 2018 Annual American Control Conference, ACC 2018 (pp. 4484-4489). [8431175] (Proceedings of the American Control Conference; Vol. 2018-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC.2018.8431175