Fault Detection for Nonlinear Systems with Intermittent Measurement Transmissions Based on Fuzzy Hybrid Observer

This paper is dealt with the problem of fault detection for nonlinear systems with intermittent measurement transmissions. A new fuzzy hybrid observer scheme is presented to achieve the purpose of fault detection, whose correction terms are instantly updated while measurements are received. Specifically, under a framework of hybrid systems, the exponential convergence of the estimation error system is analyzed, and the asynchronization of the premise variables between the fuzzy systems and the designed observer is coped with the matrix transformation technique. Different from the existing observer schemes, the proposed one does not depend on the requirements of continuous or periodical communication and is more applicable in digital and networked contexts with limited bandwidth. Finally, simulation results are given to illustrate the effectiveness of the proposed scheme.