6533b81ffe1ef96bd1277bca
RESEARCH PRODUCT
A robust fault detection design for uncertain Takagi-Sugeno models with unknown inputs and time-varying delays
Jafar ZareiSaeed AhmadizadehHamid Reza Karimisubject
Engineeringbusiness.industryLinear Matrix InequalitiesComputer Science Applications1707 Computer Vision and Pattern RecognitionLinear matrixT-S modelResidualFault detection and isolationComputer Science ApplicationsTakagi sugenoControl theoryControl and Systems EngineeringSystems designSensitivity (control systems)Time-delayModel matchingbusinessFault detectionFault detection; Linear Matrix Inequalities; T-S model; Time-delay; Unknown input; Control and Systems Engineering; Analysis; Computer Science Applications1707 Computer Vision and Pattern RecognitionUnknown inputAnalysisParametric statisticsdescription
Abstract This paper investigates the problem of robust fault detection system design for a class of uncertain Takagi–Sugeno (T–S) models. The system under consideration is subject to unknown input and time-varying delay. The fault detection system is designed such that the unknown input is thoroughly decoupled from residual signals generated by the fault detection system. Furthermore, the residual signals show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. The model matching approach is utilized to tackle the effects of parametric uncertainties in the model of the system. The design procedure is presented in terms of Linear Matrix Inequalities (LMIs). Some remarks are given to analyze the proposed method. Finally, a numerical example is presented to show the effectiveness of the proposed method.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 |