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

Yang Zhai, Zhi Wei Liu, Zhi Hong Guan, Zhiwei Gao

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Abstract

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.

Original languageEnglish
Number of pages10
JournalIEEE Transactions on Cybernetics
Early online date7 Dec 2020
DOIs
Publication statusE-pub ahead of print - 7 Dec 2020

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