Resilient Delayed Impulsive Control for Consensus of Multiagent Networks Subject to Malicious Agents

Impulsive control is widely applied to achieve the consensus of multiagent networks (MANs). It is noticed that malicious agents may have adverse effects on the global behaviors, which, however, are not taken into account in the literature. In this study, a novel delayed impulsive control strategy ba...

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Veröffentlicht in:IEEE transactions on cybernetics Jg. 52; H. 7; S. 1 - 10
Hauptverfasser: Zhai, Yang, Liu, Zhi-Wei, Guan, Zhi-Hong, Gao, Zhiwei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Communication delays
Consensus algorithm
Delays
Graphics
impulsive control
Linear matrix inequalities
multiagent network (MAN)
Multiagent systems
resilient consensus
Safety
Topology
trusted agent
Upper bound
ISSN:2168-2267, 2168-2275, 2168-2275
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Zusammenfassung:Impulsive control is widely applied to achieve the consensus of multiagent networks (MANs). It is noticed that malicious agents may have adverse effects on the global behaviors, which, however, are not taken into account in the literature. In this study, a novel delayed impulsive control strategy based on sampled data is proposed to achieve the resilient consensus of MANs subject to malicious agents. It is worth pointing out that the proposed control strategy does not require any information on the number of malicious agents, which is usually required in the existing works on resilient consensus. Under appropriate control gains and sampling period, a necessary and sufficient graphic condition is derived to achieve the resilient consensus of the considered MAN. Finally, the effectiveness of the resilient delayed impulsive control is well demonstrated via simulation studies.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2020.3035283