Advanced Affine Optimal Tracking Control Through Online Value Iteration and Its Stability Proof - Details

Author：

Wu, J. (Wu, J..) | Wang, D. (Wang, D..) | Ha, M. (Ha, M..) | Zhao, M. (Zhao, M..) | Ren, J. (Ren, J..)

Indexed by：

EI Scopus

Abstract：

In　this　paper,　to　tackle　the　optimal　tracking　control　problem　for　discrete-time　systems,　an　advanced　online　value　iteration　(VI)　algorithm　is　developed.　First,　the　derivation　of　traditional　VI　for　the　optimal　tracking　control　problem　is　revisited.　Second,　the　stability　condition　of　traditional　VI　is　established,　in　order　to　evaluate　the　current　iterative　tracking　control　policy.　Third,　based　on　the　concept　of　attraction　domain,　the　improved　tracking　control　policies　under　online　VI　can　be　obtained　by　judging　the　location　of　the　current　tracking　error.　Finally,　we　prove　the　stability　of　the　online　VI　algorithm　for　the　present　tracking　control　problem.　A　simulation　example　is　displayed　to　verify　the　effectiveness　of　the　developed　algorithm.　　©　2022　Technical　Committee　on　Control　Theory,　Chinese　Association　of　Automation.

Keyword：

stability proof online value iteration optimal tracking control attraction domain Adaptive dynamic programming

Author Community：

[ 1 ] [Wu J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Wu J.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 3 ] [Wu J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
[ 4 ] [Wu J.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
[ 5 ] [Wang D.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 6 ] [Wang D.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 7 ] [Wang D.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
[ 8 ] [Wang D.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
[ 9 ] [Ha M.]School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China
[ 10 ] [Zhao M.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 11 ] [Zhao M.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 12 ] [Zhao M.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
[ 13 ] [Zhao M.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China
[ 14 ] [Ren J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
[ 15 ] [Ren J.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, 100124, China
[ 16 ] [Ren J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100124, China
[ 17 ] [Ren J.]Beijing Institute of Artificial Intelligence, Beijing, 100124, China

Reprint Author's Address：

Email：

Show more details

Related Keywords：

Advanced Affine Optimal Tracking Control Through Online Value Iteration and Its Stability Proof
2022，2022 41ST CHINESE CONTROL CONFERENCE (CCC)
Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems
2022，IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems
2023，IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Innovative Discounted Optimal Control Design via Offline and Online Formulations for Affine Systems
2022，2022 4TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR

Source ：

ISSN： 1934-1768

Year： 2022

Volume： 2022-July

Page： 2224-2229

Language： English

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 5

Affiliated Colleges：

Get Fulltext

DOI Library Discovery Baidu Scholar Search SCOPUS

Type
Departments

All Years Choose Year From to