This paper is dealt with the fault detection problem for a class of network-based nonlinear systems with communication constraints and random missing measurements. The nonlinear plant is described by a Takagi-Sugeno (T-S) fuzzy time-delay model, it has multiple sensors and only one of them can access to the fault detection filter at each transmission instant. The measurement signal is missing randomly and the missing rate differs from one channel link to another. The goal is to design a fault detection filter such that, the estimation error between the residual and fault is minimized. By casting the addressed fault detection problem into an auxiliary H∞ filtering problem of a stochastic switched fuzzy time-delay system, a sufficient condition for the existence of the desired fault detection filter is obtained. A numerical example is provided to illustrate the effectiveness and applicability of the proposed technique.
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