Data-driven optimal tracking control of discrete-time multi-agent systems with two-stage policy iteration algorithm

Herein, a novel adaptive dynamic programming (ADP) algorithm is developed to solve the optimal tracking control problem of discrete-time multi-agent systems. Compared to the classical policy iteration ADP algorithm with two components, policy evaluation, and policy improvement, a two-stage policy it...

Full description

Bibliographic Details

Published in:	Information sciences Vol. 481; pp. 189 - 202
Main Authors:	Peng, Zhinan, Zhao, Yiyi, Hu, Jiangping, Ghosh, Bijoy Kumar
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.05.2019
Subjects:	Actor-critic networks Data-driven algorithm Multi-agent systems Optimal tracking control Two-stage policy iteration Actor-critic networks Optimal tracking control Two-stage policy iteration Data-driven algorithm Multi-agent systems
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!