Consensus and Security Control of Multi-agent Systems Based on Set-membership Estimation with Time-varying Topology under Deception Attacks

This paper is concerned with the consensus and security of leader-follower multi-agent systems with time-varying topology, where each follower’s sensor-to-controller channel and controller-to-actuator channel are subject to unknown but bounded (UBB) random deception attacks. A novel set-membership e...

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Vydané v:International journal of control, automation, and systems Ročník 20; číslo 11; s. 3624 - 3636
Hlavní autori: Zhu, Yanfei, Liu, Hang, Li, Chuanjiang, Yu, Jiahao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.11.2022
Springer Nature B.V
제어·로봇·시스템학회
Predmet:
Actuators
Algorithms
Computational geometry
Control
Control methods
Controllers
Convexity
Engineering
Estimators
Mechatronics
Multiagent systems
Optimal control
Optimization
Regular Papers
Robotics
Security
Stochastic processes
Topology
제어계측공학
security
multi-agent systems (MASs)
leader-follower consensus
Deception attacks
set-membership estimation
ISSN:1598-6446, 2005-4092
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Popis
Shrnutí:This paper is concerned with the consensus and security of leader-follower multi-agent systems with time-varying topology, where each follower’s sensor-to-controller channel and controller-to-actuator channel are subject to unknown but bounded (UBB) random deception attacks. A novel set-membership estimation and control framework is presented to realize system consensus, input-to-state stability and security performance, in which each controller receives arbitrary estimates from itself and neighbor set-membership estimators. Based on the Lyapunov functional and stochastic control method, a sufficient condition on the existence of estimators and controllers is derived. Then, a convex optimization algorithm is established to deal with the proposed framework. Finally, the effectiveness of the method is verified by numerical simulation.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
http://link.springer.com/article/10.1007/s12555-021-0524-z
ISSN:1598-6446
2005-4092
DOI:10.1007/s12555-021-0524-z