Article Dans Une Revue IEEE Control Systems Letters Année : 2024

Distributed Joint Fault Estimation for Multi-Agent Systems via Dynamic Event-Triggered Communication

Résumé

This paper studies a novel distributed fault estimation framework for multi-agent systems under directed topology, subject to time-varying multiplicative and additive faults. Both actuator and sensor faults are simultaneously addressed by introducing an augmented system. A two-step design process is presented aimed at joint estimation of faults, system state, and exogenous disturbance, which involves an ℓth-order proportional-integral observer and a constrained least square estimator. Utilizing the relative output of neighbor information enhances the accuracy of fault and state estimation. Output sharing is realized by a dynamic event-triggered communication protocol, which effectively saves network resources. The design conditions of the observer are formulated as an optimization problem subject to linear matrix inequalities, ensuring guaranteed H-infinity performance of not only estimation error but also event error. Simulation results validate the effectiveness and feasibility of the proposed method.

HAL

A pour origine hal-04850598 Objet présenté à une conférence Zeyuan Wang, Mohammed Chadli. Distributed Joint Fault Estimation for Multi-Agent Systems Via Dynamic Event-Triggered Communication. The 63rd IEEE Conference on Decision and Control (CDC 2024), Dec 2024, Milano, Italy. ⟨hal-04850598⟩

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Dates et versions

hal-04597450 , version 1 (02-06-2024)

Identifiants

Citer

Zeyuan Wang, Mohammed Chadli. Distributed Joint Fault Estimation for Multi-Agent Systems via Dynamic Event-Triggered Communication. IEEE Control Systems Letters, 2024, 8, pp.868--873. ⟨10.1109/LCSYS.2024.3405390⟩. ⟨hal-04597450⟩
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