Cluster synchronization of heterogeneous nonlinear multi- agent systems with actuator faults and IQCs through adaptive fault-tolerant pinning control
DC Field | Value | Language |
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dc.contributor.author | Guo, Xiang-Gui | - |
dc.contributor.author | Liu, Pei-Ming | - |
dc.contributor.author | Li, Hong-Jian | - |
dc.contributor.author | Wang, Jian-Liang | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.date.accessioned | 2022-02-17T21:40:58Z | - |
dc.date.available | 2022-02-17T21:40:58Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136148 | - |
dc.description.abstract | In this paper, the cluster synchronization problem of a heterogeneous second-order leader-following multi-agent system with nonlinear dynamics, actuator faults, and integral quad-ratic constraints (IQCs) under a directed topology with a directed spanning tree is investi-gated. Based on the local topology information, two adaptive fault-tolerant pinning control strategies with fixed and adaptive pinning gains are proposed to guarantee cluster syn-chronization in finite time. An adaptive input compensation is developed to attenuate the adverse effects of actuator faults. It is worth mentioning that just one parameter needs to be estimated for each agent in this compensation, which implies that the strategies designed in this paper can effectively reduce the computational cost. Furthermore, the use of the pinning control method instead of the fully equipped control method makes the strategies more cost-effective for large-scale multi-agent systems. Finally, numerical simulation examples are introduced to demonstrate the effectiveness and advantages of the proposed strategies. (c) 2021 Elsevier Inc. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE INC | - |
dc.subject | GROUP CONSENSUS | - |
dc.subject | NETWORKS | - |
dc.title | Cluster synchronization of heterogeneous nonlinear multi- agent systems with actuator faults and IQCs through adaptive fault-tolerant pinning control | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1016/j.ins.2021.06.019 | - |
dc.identifier.scopusid | 2-s2.0-85108789812 | - |
dc.identifier.wosid | 000698504400017 | - |
dc.identifier.bibliographicCitation | INFORMATION SCIENCES, v.575, pp.289 - 305 | - |
dc.relation.isPartOf | INFORMATION SCIENCES | - |
dc.citation.title | INFORMATION SCIENCES | - |
dc.citation.volume | 575 | - |
dc.citation.startPage | 289 | - |
dc.citation.endPage | 305 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.subject.keywordPlus | GROUP CONSENSUS | - |
dc.subject.keywordPlus | NETWORKS | - |
dc.subject.keywordAuthor | Cluster synchronization | - |
dc.subject.keywordAuthor | Fault-tolerant control | - |
dc.subject.keywordAuthor | Integral quadratic constraints (IQCs) | - |
dc.subject.keywordAuthor | Multi-agent system | - |
dc.subject.keywordAuthor | Pinning control | - |
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