Event-triggered Adaptive Fault-tolerant Pinning Control for Cluster Consensus of Heterogeneous Nonlinear Multi-agent Systems under Aperiodic DoS Attacks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Guo, X.G. | - |
dc.contributor.author | Liu, P. | - |
dc.contributor.author | Wang, J. | - |
dc.contributor.author | Ahn, C.K. | - |
dc.date.accessioned | 2021-12-03T02:41:29Z | - |
dc.date.available | 2021-12-03T02:41:29Z | - |
dc.date.created | 2021-08-31 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 2327-4697 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/129019 | - |
dc.description.abstract | This paper presents an event-triggered cluster consensus scheme for heterogeneous nonlinear second-order multi-agent systems (MASs) subject to cyber attacks (i.e., aperiodic denial-of-service (DoS) attacks), actuator faults and integral quadratic constraints (IQCs) under directed communication topology containing a directed spanning tree. Based on local communication, an event-triggered adaptive fault-tolerant pinning control scheme is designed to achieve cluster consensus under simultaneous cyber attacks and actuator faults. The proposed control scheme does not require the communication topology to satisfy the in-degree balance between different clusters. Furthermore, the fault-tolerant control part only needs to estimate one parameter for each agent. Instead of requiring continuous information on its neighbors to determine the trigger instants as in the previous literature, an event-triggered mechanism that does not require periodic sampling of neighbors' information is developed to save network resources, and the Zeno behavior is excluded. Finally, a simulation example confirms the effectiveness and superiority of the proposed control scheme. IEEE | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Event-triggered Adaptive Fault-tolerant Pinning Control for Cluster Consensus of Heterogeneous Nonlinear Multi-agent Systems under Aperiodic DoS Attacks | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, C.K. | - |
dc.identifier.doi | 10.1109/TNSE.2021.3077766 | - |
dc.identifier.scopusid | 2-s2.0-85105890771 | - |
dc.identifier.wosid | 000680893400034 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Network Science and Engineering, v.8, no.2, pp.1941 - 1956 | - |
dc.relation.isPartOf | IEEE Transactions on Network Science and Engineering | - |
dc.citation.title | IEEE Transactions on Network Science and Engineering | - |
dc.citation.volume | 8 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 1941 | - |
dc.citation.endPage | 1956 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.subject.keywordAuthor | Actuators | - |
dc.subject.keywordAuthor | Cyberattack | - |
dc.subject.keywordAuthor | Fault tolerance | - |
dc.subject.keywordAuthor | Fault tolerant systems | - |
dc.subject.keywordAuthor | Multi-agent systems | - |
dc.subject.keywordAuthor | Nonlinear dynamical systems | - |
dc.subject.keywordAuthor | Uncertainty | - |
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