Abstract
This paper is concerned with the event-based fault detection observer design problem for a class of discrete-time nonlinear networked control systems with output saturation. The system is represented by the T–S affine fuzzy models, and it is assumed that the premise variables of these models are not necessarily measurable. Different from the existing results, an adaptive event-triggered mechanism is introduced to reduce the burden of communication by judging whether the measured data should be transmitted. Based on the piecewise Lyapunov function and free-weighting matrices technique, the design conditions are given in terms of linear matrix inequalities, which can ensure the residual is sensitive to faults. Finally, a numerical example verifies the validity of the proposed method.
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