Consensus tracking of stochastic multi-agent system with actuator faults and switching topologies

Cao, Y; Li, B; Wen, S; Huang, T

Consensus tracking of stochastic multi-agent system with actuator faults and switching topologies

Cao, Y Li, B Wen, S

Huang, T

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Information Sciences, 2022, 607, pp. 921-930
Issue Date:: 2022-08-01

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Field	Value	Language
dc.contributor.author	Cao, Y
dc.contributor.author	Li, B
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Huang, T
dc.date.accessioned	2023-02-28T03:38:55Z
dc.date.available	2023-02-28T03:38:55Z
dc.date.issued	2022-08-01
dc.identifier.citation	Information Sciences, 2022, 607, pp. 921-930
dc.identifier.issn	0020-0255
dc.identifier.uri	http://hdl.handle.net/10453/166528
dc.description.abstract	This article studies the consensus tracking control of stochastic multi-agent system (MAS) under randomly switched topology with faulty actuators. The system is considered as a stochastic one, under which the followers can track with a virtual leader while the leader's trajectory can only be used for a small subset of followers. The topology conversion is controlled by a continuous-time Markov process. A fault-tolerant control strategy is designed for each agent with its neighbors’ information, then the proposed control protocol is proved with Lyapunov stability theory. Simulation part verifies the mentioned controller.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Information Sciences
dc.relation.isbasedon	10.1016/j.ins.2022.06.009
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Consensus tracking of stochastic multi-agent system with actuator faults and switching topologies
dc.type	Journal Article
utslib.citation.volume	607
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2023-02-28T03:38:54Z
pubs.publication-status	Published
pubs.volume	607

Abstract:

This article studies the consensus tracking control of stochastic multi-agent system (MAS) under randomly switched topology with faulty actuators. The system is considered as a stochastic one, under which the followers can track with a virtual leader while the leader's trajectory can only be used for a small subset of followers. The topology conversion is controlled by a continuous-time Markov process. A fault-tolerant control strategy is designed for each agent with its neighbors’ information, then the proposed control protocol is proved with Lyapunov stability theory. Simulation part verifies the mentioned controller.

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http://hdl.handle.net/10453/166528