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Distributed robust group output synchronization control for heterogeneous uncertain linear multi-agent systems.

Authors :
Zhang J
Ding DW
Ren Y
Sun X
Source :
ISA transactions [ISA Trans] 2023 Mar; Vol. 134, pp. 108-121. Date of Electronic Publication: 2022 Aug 22.
Publication Year :
2023

Abstract

This paper investigates the distributed robust group output synchronization problem of heterogeneous uncertain linear leader-follower multi-agent systems (MASs), whose followers have nonidentical and parameter uncertain dynamics. To achieve cooperative tracking with multiple targets, a new group synchronization framework based upon the output regulation technique is established. In the underlying directed communication topology, all nonidentical followers are divided into several subgroups. Meanwhile, each subgroup has its output tracking objective generated by an autonomous exosystem which is seen as the leader of each subgroup. Since not all followers can access their exosystems directly, the distributed exosystem observer based on the algebraic Riccati inequality (ARI) is designed to obtain the information of exosystems. Moreover, to compensate for parameter uncertainties for different group topologies, the p-copy internal model is synthesized into distributed control laws, i.e., dynamic state feedback control protocol under an acyclic directed graph and dynamic output feedback control protocol under a general directed graph. It is shown that group synchronization can be respectively achieved with these controllers under acyclic and general partitions regardless of parameter uncertainties. Finally, some examples are provided to verify the validity of the analytic results.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 ISA. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-2022
Volume :
134
Database :
MEDLINE
Journal :
ISA transactions
Publication Type :
Academic Journal
Accession number :
36058719
Full Text :
https://doi.org/10.1016/j.isatra.2022.08.010