Stochastic fault and cyber-attack detection and consensus control in multi-agent systems. Issue 9 (2nd September 2022)

• Record Type: Journal Article
• Authors: Eslami, Ali; Abdollahi, Farzaneh; Khorasani, Khashayar
• Is Part Of: International journal of control. Volume 95:Issue 9(2022)
• Page Start: 2379
• Page End: 2397
• Publication Date: 2022-09-02
• Subjects: Cyber-attack detection -- consensus control -- fault detection -- stochastic cyber-attack -- stochastic fault; Automatic control -- Periodicals; Electronic journals; 629.8
• DOI: 10.1080/00207179.2021.1912394
• Languages: English
• ISSNs: 0020-7179

Abstract

ABSTRACT: In this paper, the stochastic fault and cyber-attack detection and consensus control problems are investigated for multi-agent systems. By using a Markovian approach, Linear Matrix Inequalities (LMI) are derived that incorporate relative information among the agents to detect stochastic faults and cyber-attacks and then resiliently control the system to reach a consensus. A mixed coding and Message Authentication approach is presented to detect data injection cyber-attacks on the communication links. By using the Bayesian inference, useful information regarding the cyber-attack, such as the probability of its occurrence, is derived. Simulation and two case study results corresponding to a team of multi-agent Autonomous Underwater Vehicles (UAVs) confirm and verify the effectiveness and capabilities of our proposed methodologies.