Zonotopic Fault Detection for Fuzzy Systems With Event-Triggered Transmission

This article deals with the zonotopic fault detection for fuzzy systems with event-triggered mechanism. An l(1)/h(infinity) fault detector design method is deduced with considering the asynchronous premise variables caused by event-triggered transmission, such that the residual signal is sensitive to system failure while robust to amplitude-bounded disturbance, and noise. Then, a novel zonotopic residual evaluation process is constructed by converting the asynchronization of premise variables into system uncertainties. Different from most published works on event-triggered fault detection where constant thresholds are utilized for residual evaluation, zonotopic thresholds for residual signal are designed with taking the influences of disturbance, noise, asynchronous premise variables, and event-based transmission into consideration. Finally, a numerical example is utilized to verify the effective performance of the developed strategy.

Automated summary

This article discusses zonotopic fault detection for fuzzy systems with event-triggered mechanism, proposing an l(1)/h(infinity) fault detector design method and constructing a zonotopic residual evaluation process. Different from most existing works, zonotopic thresholds for residual signal are designed by considering the influences of disturbance, noise, asynchronous premise variables, and event-based transmission. The effective performance of the developed strategy is verified through a numerical example.