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Article: Necessary and Sufficient Conditions on Consensus of General Fractional-Order Multi-agent Systems over Directed Networks

TitleNecessary and Sufficient Conditions on Consensus of General Fractional-Order Multi-agent Systems over Directed Networks
Authors
Keywordsconsensus problem
Cooperative control
Directed graphs
directed graphs
Laplace equations
Multi-agent systems
Network topology
networked fractional-order systems
Sufficient conditions
Topology
Vehicle dynamics
Issue Date1-Jan-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Network Science and Engineering, 2023 How to Cite?
Abstract

This paper tackles the consensus problem for a group of multi-agent systems communicating over a directed network. Our networked system consists of general fractional-order dynamic systems with order α∈[1,2) in continuous time. This presents a more challenging issue than the previous research on simple single/double fractional-order integrators. Specifically, we investigate the consensus issue for agents described by fractional-order systems with general linear dynamics, which presents a challenge due to the limited applicability of existing tools for integer-order models. To address this, we utilize spectral graph theory and fractional-order systems theory to derive several equivalent conditions without conservatism for such systems where agents communicate through directed graphs. We develop a tractable convex programming algorithm for controller design based on the obtained results. We then demonstrate the effectiveness of our proposed approach through simulations on higher-order dynamic systems and fractional-order circuits.


Persistent Identifierhttp://hdl.handle.net/10722/331284
ISSN
2023 Impact Factor: 6.7
2023 SCImago Journal Rankings: 2.167
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu Jason JR-
dc.contributor.authorLam, James-
dc.contributor.authorKwok, Ka-Wai-
dc.date.accessioned2023-09-21T06:54:20Z-
dc.date.available2023-09-21T06:54:20Z-
dc.date.issued2023-01-01-
dc.identifier.citationIEEE Transactions on Network Science and Engineering, 2023-
dc.identifier.issn2327-4697-
dc.identifier.urihttp://hdl.handle.net/10722/331284-
dc.description.abstract<p>This paper tackles the consensus problem for a group of multi-agent systems communicating over a directed network. Our networked system consists of general fractional-order dynamic systems with order α∈[1,2) in continuous time. This presents a more challenging issue than the previous research on simple single/double fractional-order integrators. Specifically, we investigate the consensus issue for agents described by fractional-order systems with general linear dynamics, which presents a challenge due to the limited applicability of existing tools for integer-order models. To address this, we utilize spectral graph theory and fractional-order systems theory to derive several equivalent conditions without conservatism for such systems where agents communicate through directed graphs. We develop a tractable convex programming algorithm for controller design based on the obtained results. We then demonstrate the effectiveness of our proposed approach through simulations on higher-order dynamic systems and fractional-order circuits.<br></p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Network Science and Engineering-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectconsensus problem-
dc.subjectCooperative control-
dc.subjectDirected graphs-
dc.subjectdirected graphs-
dc.subjectLaplace equations-
dc.subjectMulti-agent systems-
dc.subjectNetwork topology-
dc.subjectnetworked fractional-order systems-
dc.subjectSufficient conditions-
dc.subjectTopology-
dc.subjectVehicle dynamics-
dc.titleNecessary and Sufficient Conditions on Consensus of General Fractional-Order Multi-agent Systems over Directed Networks-
dc.typeArticle-
dc.identifier.doi10.1109/TNSE.2023.3301015-
dc.identifier.scopuseid_2-s2.0-85166758040-
dc.identifier.eissn2327-4697-
dc.identifier.isiWOS:001139144400091-
dc.identifier.issnl2327-4697-

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