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

Hailang Jin, Zhiqiang Zuo*, Yijing Wang, Lei Cui, Zhiwei Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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 l1 / H∞ 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.
Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Cybernetics
Early online date12 Jan 2024
DOIs
Publication statusE-pub ahead of print - 12 Jan 2024

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