A New BRB-Based Fault Diagnosis Method for Leader-Following Multi-Agent Systems with Communication Interferences

This paper investigates the fault diagnosis problem for leader-following multi-agent systems (MASs) subject to actuator faults and communication interferences based on belief rule base (BRB). By designing a sliding mode controller, the system’s consistency under communication interferences is achieved. Then a novel BRB-based fault diagnosis method is proposed to diagnose faults in MASs, and the faulty agents can be diagnosed accurately. Ultimately, the effectiveness of the proposed method is verified by simulation studies.