Fault Detection and Isolation for Multiagent Systems Under Event-Triggered Communication: A Zonotopic Joint Estimation Method

• Published in: IEEE internet of things journal Vol. 12; no. 15; pp. 29940 - 29947
• Main Authors: Tian, Mingliang, Guo, Zhihua, Wang, Xing, Niu, Ben, Wang, Xinjun, Wang, Ding, Wang, Huanqing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.08.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Disturbances; Estimation; Event detection; Event-triggered communication mechanism (ETCM); Fault detection; Kalman filters; Multi-agent systems; Multiagent systems; Noise; Observers; Reachability analysis; Uncertainty; Vectors; zonotopic reachability analysis
• ISSN: 2327-4662; 2327-4662
• DOI: 10.1109/JIOT.2025.3569599

This article investigates the fault detection and isolation problem of a class of leader-follower multiagent systems subject to unknown-but-bounded disturbances under an event-triggered communication mechanism (ETCM). First, an adaptive ETCM is proposed to avoid the continuous acquisition of outputs from neighboring agents, thereby reducing the communication burden. Second, a joint state and fault observer is designed, and <inline-formula> <tex-math notation="LaTeX"> H_{\infty } </tex-math></inline-formula> analysis is utilized to improve the robustness of the observer against external disturbances and event-triggered errors. Next, zonotopic reachability analysis is utilized to derive the estimated intervals of the system state and fault signal, based on which a fault detection and isolation method is developed to determine both when the system is faulty and which agent is at fault. Finally, a fighter formation model is employed to verify the effectiveness of the proposed approach.