Decentralized Type-2 Fuzzy Event-Triggered Control for Nonlinear Switched Interconnected Systems With Actuator and Sensor Faults

Abstract

This article proposes a decentralized adaptive fuzzy event-triggered fault-tolerant control scheme for nonlinear switched interconnected systems under arbitrary switchings. A novel state observer is crafted to estimate unmeasured states by using the faulty output signal. Interval type-2 fuzzy logic systems are adopted to deal with uncertain nonlinearities. The Nussbaum gain technique and a novel fault compensation mechanism are utilized to deal with actuator and sensor faults. A switching threshold event-triggered control strategy is developed to guarantee that all closed-loop signals are bounded, meanwhile the Zeno behavior is excluded. Eventually, a practical simulation illustrates the validation of the theoretical findings.