H∞-based control of multi-agent systems: Time-delayed signals, unknown leader states and switching graph topologies.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 03 11 2021
accepted: 27 12 2021
entrez: 28 4 2022
pubmed: 29 4 2022
medline: 3 5 2022
Statut: epublish

Résumé

The paper investigates a leader-following scheme for nonlinear multi-agent systems (MASs). The network of agents involves time-delay, unknown leader's states, external perturbations, and switching graph topologies. Two distributed protocols including a consensus protocol and an observer are utilized to reconstruct the unavailable states of the leader in a network of agents. The H∞-based stability conditions for estimation and consensus problems are obtained in the framework of linear-matrix inequalities (LMIs) and the Lyapunov-Krasovskii approach. It is ensured that each agent achieves the leader-following agreement asymptotically. Moreover, the robustness of the control policy concerning a gain perturbation is guaranteed. Simulation results are performed to assess the suggested schemes. It is shown that the suggested approach gives a remarkable accuracy in the consensus problem and leader's states estimation in the presence of time-varying gain perturbations, time-delay, switching topology and disturbances. The H∞ and LMIs conditions are well satisfied and the error trajectories are well converged to the origin.

Identifiants

pubmed: 35482650
doi: 10.1371/journal.pone.0263017
pii: PONE-D-21-35036
pmc: PMC9049309
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0263017

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

PLoS One. 2017 May 25;12(5):e0178330
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IEEE Trans Neural Netw Learn Syst. 2020 Mar;31(3):1036-1045
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Auteurs

Amin Taghieh (A)

Department of Electrical Engineering, Qatar University, Doha, Qatar.

Ardashir Mohammadzadeh (A)

Electrical Engineering Department, University of Bonab, Bonab, Iran.

Sami Ud Din (SU)

Department of Electrical Engineering, Namal University Mianwali, Mianwali, Pakistan.

Saleh Mobayen (S)

Future Technology Research Center, National Yunlin University of Science and Technology, Douliu, Taiwan.

Wudhichai Assawinchaichote (W)

Department of Electronic and Telecommunication Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.

Afef Fekih (A)

Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, Louisiana, United States of America.

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Classifications MeSH