Fault Estimation and Fault-Tolerant Control for Networked Systems Based on an Adaptive Memory-Based Event-Triggered Mechanism

Abstract

This paper mainly focuses on the problem of networked fault estimation (FE) and fault-tolerant control (FTC). A novel adaptive memory-based mechanism is proposed by introducing the latest piece of historical output information. The historical information at each instant is matched with a corresponding weight such that the closer information is, the more contribution to the releasing event. Many unexpected triggering events can be avoided under this communication protocol, especially for the scenarios of the system with jitter disturbance or random noise. Moreover, to make the instantaneous data releasing rate adapt to the requirement of the control system, a time-varying threshold of the event-triggered mechanism is designed. Therefore, the burden of network bandwidth can be greatly decreased. Based on this proposed communication protocol, a new fault and state estimation model is developed. The fault-tolerant controller uses the estimations to compensate for the influence induced by the network and the fault. Sufficient conditions are derived to co-design the parameters of FE, FTC, and adaptive memory-based event-triggered mechanism. Finally, the performance of the proposed communication mechanism, FE, and FTC is evaluated on an example of the F-404 engine system.