Distributed Model Predictive Consensus of MASs Against False Data Injection Attacks and Denial-of-Service Attacks

• 成果类型: Article
• 署名作者: Li, Zhengcai; Shi, Yang; Xu, Shengyuan; Xu, Huiling; Dong, Lewei
• 署名单位: Nanjing University of Science & Technology; University of Victoria; Nanjing University of Science & Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3371895
• 发表日期: 2024
• 页码: 5538-5545
• 关键词: Predictive control; Communication channels; Denial-of-service attack; predictive models; observers; actuators; Output feedback; denial-of-service (DoS) attacks; distributed output feedback model predictive control (DOFMPC); false data injection (FDI) attacks; leader-following (L-F) consensus; robust multivariate observer

摘要

This article provides a secure distributed output feedback model predictive control (DOFMPC) solution for the leader-following consensus problems of homogeneous linear disturbed multi-agent systems against multiple cyber attacks. The false data injection (FDI) attacks on the sensor-controller communication channel and denial-of-service (DoS) attacks on the controller-actuator communication channel occur simultaneously. To defend against dual-channel multiple attacks, we propose a secure DOFMPC scheme consisting of three modules. First, a robust multivariate observer is built to separate FDI attacks from uncompromised states. Second, a distributed output feedback model predictive controller is designed to generate effective control sequences. Third, a buffered actuator is added to realize adequate compensation to defend against DoS attacks. The proposed secure DOFMPC scheme ensures the recursive feasibility of the formulated OCP and achieves the leader-following consensus of the multiagent system. Finally, an illustrative example is presented to demonstrate the secure performance of the proposed DOFMPC scheme.