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

• Published in: International 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
• Language: English
• 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
• Subjects: 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
• DOI: 10.1007/s12555-021-0524-z

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.