Observer-based event-impulse mixed triggered fault detection for nonlinear semi-Markov jump systems

Abstract

This paper studies the observer-based fault detection problem for a class of semi-Markov jump systems with conic-type nonlinearity and unknown transition rates by an event-impulse mixed triggered (EIMT) scheme. The EIMT scheme is used to obtain well-developed sampled data and save communication resources. In order to ensure the sensitivity to faults and the robustness against disturbances, a multi-target fault detection strategy is proposed based on the given H_/H∞ index. Then, sufficient conditions for the presence of fault detection observer are derived, and a fault detection optimization algorithm is employed to improve the H_/H∞ performance. Finally, the effectiveness and superiority of the proposed method are proved by a DC motor simulation experiment.