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

Posted on

Cite as:
Z. Wang and M. Chadli, ‘Distributed Joint Fault Estimation for Multi-Agent Systems via Dynamic Event-Triggered Communication’, IEEE Control Systems Letters, pp. 1–1, 2024, doi: 10.1109/LCSYS.2024.3405390.

Abstract:
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 $\ell$th-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.

Keywords:
Distributed control, Estimation, Fault diagnosis, Networked control systems

Distributed Joint Fault Estimation Procedure

PDF preview: