JOURNAL ARTICLE

Observer‐based consensus control of nonlinear multiagent systems under semi‐Markovian switching topologies and cyber attacks

Xinxin XieZhe YangXiaowu Mu

Year: 2020 Journal:   International Journal of Robust and Nonlinear Control Vol: 30 (14)Pages: 5510-5528   Publisher: Wiley

Abstract

Summary This article investigates the leader‐following consensus of nonlinear multiagent systems under semi‐Markovian switching topologies and cyber attacks. Unlike the related works, the communication channels considered herein are subjected to successful but recoverable attacks, and when the channels work well, the network topology is time‐varying and described by a semi‐Markovian switching topology. Due to the effect of attacks, the communication network is intermittently paralyzed. For the cases that the transition rates of semi‐Markovian switching topologies are completely known and partially unknown, observer‐based control protocols and sufficient conditions are proposed, respectively, to ensure the consensus of the systems in the mean square sense. Finally, simulation examples are given to illustrate the validity of the theoretical results.

Keywords:
Network topology Nonlinear system Multi-agent system Observer (physics) Computer science Consensus Control theory (sociology) Topology (electrical circuits) Markov process Telecommunications network Control (management) Mathematics Computer network Artificial intelligence Physics

Metrics

14
Cited By
1.86
FWCI (Field Weighted Citation Impact)
34
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health

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