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"Detecting Sensor Fault for Nonlinear Systems in T–S Form Under Sampled-Data Measurement: Exact Direct Discrete-Time Design Approach"

Sung Chul Jee, Ho Jae Lee*, and Do Wan Kim
International Journal of Control, Automation, and Systems, vol. 14, no. 2, pp.452-460, 2016

Abstract : A direct discrete-time design methodology for sampled-data sensor fault detection for nonlinear systems in Takagi–Sugenos form is proposed. Contrary to the conventional schemes in this way that rely on an approximate discrete-time model of the nonlinear system, our result is established based on an exact one. Condition to design the observer and the residual gain under anH􀀀=H∞ performance criterion is presented in matrix inequality format. An example is given to illustrate the effectiveness of the proposed methodology.

Keyword : Direct discrete-time design, exact discrete-time model, H_=H∞ performance, sampled-data fault detection, Takagi–Sugeno fuzzy model.

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