Event-Triggered Interval Observer Fault Detection and Isolation for Multiagent Systems

作者：Hailang Jin, Zhiqiang Zuo, Yijing Wang, Lei Cui, Zhiwei Gao · 发表于：IEEE Transactions on Cybernetics · 年份：2024 · DOI：10.1109/tcyb.2023.3344775 · 被引用次数：48 · 研究领域：Distributed Control Multi-Agent Systems、Smart Grid Security and Resilience、Reinforcement Learning in Robotics

This article investigates an event-triggered interval observer (ETIO) fault detection and isolation method for multiagent systems. First, an event-triggered mechanism is developed to reduce unnecessary communication transmission. Then, a distributed ETIO is designed by combining an interval observer and the proposed event-triggered mechanism. Furthermore, for achieving the desired tradeoff between the robustness to disturbances and the sensitivity to faults, the ETIO is formulated as a multiobjective optimization with$ l_{1}$$/$$ H_{\infty}$performance. Second, a bank of ETIOs are interpreted to isolate the faulty agent on a local agent using only the output information from itself and its neighbors. Comparison result with the existing method is given to highlight the superiority of our methodology. Finally, the multiunmanned aerial vehicles system is utilized as the case research, and specific simulation results are presented.