Secure consensus switching control for multiagent system under abnormal deception attacks and its application to unmanned surface vehicle clusters. (1st November 2022)

• Record Type: Journal Article
• Authors: Zhong, Qishui; Han, Sheng; Shi, Kaibo; Cai, Xiao; Kwon, Oh-Min; Zhong, Shouming
• Is Part Of: Expert systems with applications. Volume 205(2022)
• Publication Date: 2022-11-01
• Subjects: Secure consensus -- Multiagent system -- Deception attacks -- Lyapunov–Krasovskii functional -- Sampled-data control; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2022.117702
• Languages: English
• ISSNs: 0957-4174

Abstract

Abstract: In this paper, we focus on the secure consensus of multiagent system (MAS) under abnormal deception attacks based on a switching control strategy. Due to the openness and shareability of communication network, abnormal deception attacks can be successfully launched into the MAS in a certain probability, which will cause the control signals transmitted through network to be completely modified. An aperiodic switching controller is proposed to improve the system's ability to tolerate attacks, which also greatly reduces the number of actuator actions and reserves time for next execution. In order to reduce the conservatism of results, a novel Lyapunov–Krasovskii functional is constructed by introducing some extra looped functional terms and states variable to increase the storage of sampling information. A sufficient condition for the secure consensus of MAS is established according to the designed control protocol. Finally, a consensus control model about unmanned surface vehicles clusters is provided as an example to verify the effectiveness and feasibility of the proposed approach. Highlights: A new controller model is established under the abnormal deception attacks. An aperiodic switching control strategy for sampled-data system is proposed. An modified looped Lyapunov functional is introduced to make results more relaxed. The proposed algorithm saved hardware resources and improved the security.