Resilient Cluster Consensus of Multiagent Systems

Shang, Yilun (2020) Resilient Cluster Consensus of Multiagent Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. pp. 1-11. ISSN 2168-2216 (In Press)

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Official URL: https://doi.org/10.1109/TSMC.2020.2997855

Abstract

We investigate the problems of resilient cluster consensus in directed networks under three types of multiagent dynamics, namely, continuous-time multiagent systems, discrete-time multiagent systems, and switched multiagent systems composed of both continuous-time and discrete-time components. Resilient cluster censoring strategies are proposed to ensure cluster consensus against locally bounded Byzantine nodes in a purely distributed manner, where neither the number/identity of Byzantine nodes nor the division of clusters is assumed. We do not require complicated algebraic conditions or any balance conditions over intercluster structures, distinguishing the current work from previous results on cluster consensus problems besides a fortiori the attack-tolerant feature. Sufficient conditions are established in all the three scenarios based on the graph robustness. Furthermore, we solve the heterogenous cluster robustness problems and resilient scaled cluster consensus problems as extensions. The theoretical results are illustrated through numerical examples including the Santa Fe collaboration network.

Item Type: Article
Uncontrolled Keywords: switched multiagent system, robustness, discrete time, continuous time, Cluster consensus
Subjects: G400 Computer Science
G500 Information Systems
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 20 Jul 2020 11:13
Last Modified: 20 Jul 2020 11:19
URI: http://nrl.northumbria.ac.uk/id/eprint/43819

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