Distributed Fault-Tolerant Consensus Tracking of Multi-Agent Systems Under Cyber-Attacks

作者：Chun Liu, Bin Jiang, Xiaofan Wang, Huiliao Yang, Shaorong Xie · 发表于：IEEE/CAA Journal of Automatica Sinica · 年份：2022 · DOI：10.1109/jas.2022.105419 · 被引用次数：68 · 研究领域：Distributed Control Multi-Agent Systems、Neural Networks Stability and Synchronization、Advanced Memory and Neural Computing

This paper investigates the distributed fault-tolerant consensus tracking problem of nonlinear multi-agent systems with general incipient and abrupt time-varying actuator faults under cyber-attacks. First, a decentralized unknown input observer is established to estimate relative states and actuator faults. Second, the estimated and output neighboring information is combined with distributed fault-tolerant consensus tracking controllers. Criteria of reaching leader-following exponential consensus tracking of multi-agent systems under both connectivity-maintained and connectivity-mixed attacks are derived with average dwelling time, attack frequency, and attack activation rate technique, respectively. Simulation example verifies the effectiveness of the fault-tolerant consensus tracking algorithm.