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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Published inInternational journal of control, automation, and systems Vol. 20; no. 11; pp. 3624 - 3636
Main Authors Zhu, Yanfei, Liu, Hang, Li, Chuanjiang, Yu, Jiahao
Format Journal Article
LanguageEnglish
Published 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
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ISSN1598-6446
2005-4092
DOI10.1007/s12555-021-0524-z

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Abstract 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.
AbstractList 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. KCI Citation Count: 3
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.
Author Liu, Hang
Yu, Jiahao
Li, Chuanjiang
Zhu, Yanfei
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Keywords security
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leader-follower consensus
Deception attacks
set-membership estimation
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Snippet This paper is concerned with the consensus and security of leader-follower multi-agent systems with time-varying topology, where each follower’s...
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SubjectTerms 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
Title Consensus and Security Control of Multi-agent Systems Based on Set-membership Estimation with Time-varying Topology under Deception Attacks
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