Event-Triggered Fault Reconstruction Using Sliding Mode Observer

Abstract

In this paper, we study event-triggered fault reconstruction using sliding mode observer (SMO) for a linear time-invariant system. Here, the SMO is designed with an event condition in which output measurements are transmitted over the network. The observer provides the state estimates using the sampled output values in the presence of fault signals. It is shown that with a suitable (switching) gain and the triggering parameter, the observer states converge to the true states (in the practical sense), and thus, the fault signals can be reconstructed with an accuracy dependent on the steady-state error bound. Finally, simulation results are shown to illustrate fault detection employing the proposed approach.