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

Zhai, Yang, Liu, Zhi-Wei, Guan, Zhi-Hong and Gao, Zhiwei (2020) Resilient Delayed Impulsive Control for Consensus of Multiagent Networks Subject to Malicious Agents. IEEE Transactions on Cybernetics. pp. 1-10. ISSN 2168-2267 (In Press)

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Official URL: https://doi.org/10.1109/TCYB.2020.3035283

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.

Item Type: Article
Uncontrolled Keywords: Communication delays, impulsive control, multiagent network (MAN), resilient consensus, trusted agent
Subjects: G500 Information Systems
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 01 Mar 2021 14:19
Last Modified: 31 May 2021 14:42
URI: http://nrl.northumbria.ac.uk/id/eprint/45565

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