Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems

This paper presents a novel data-driven optimal output cluster synchronization control method for heterogeneous multi-agent systems with disturbances based on adaptive dynamic programming. Traditional cluster synchronization control methods require the information of system matrices, which limit the...

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Bibliographic Details

Published in:	IEEE transactions on automation science and engineering Vol. 21; no. 3; pp. 3910 - 3920
Main Authors:	Li, Hongyang, Wei, Qinglai
Format:	Journal Article
Language:	English
Published:	IEEE 01.07.2024
Subjects:	adaptive dynamic programming Artificial intelligence data-driven control Dynamic programming heterogeneous multi-agent systems Multi-agent systems Observers Optimal control Output cluster synchronization control policy iteration Regulation Synchronization
ISSN:	1545-5955, 1558-3783
Online Access:	Get full text
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