Fault Detection for a Class of Nonlinear Networked Control Systems with Communication Constraints

This paper is concerned with fault detection for a class of nonlinear networked control systems with stochastic transfer delays and data drops. A modified T-S fuzzy model is used to represent the considered system. The infinitely distributed time delays are introduced to describe the delays in the controllers. In the fault detection filter, a sequence of stochastic variables is introduced to govern the random occurrence of the stochastic transfer delays and data drops in the measurements, and all of the stochastic variables are mutually independent. Sufficient conditions using regular and piecewise Lyapunov functions are derived for the existence of the designed filter. An example is employed to show the effectiveness and applicability of the proposed fault-detection method.