6533b870fe1ef96bd12d051a

RESEARCH PRODUCT

Robust fault detection design for unknown inputs Takagi-Sugeno models with parametric uncertainties and time-varying delays

Jafar ZareiSaeed AhmadizadehHamid Reza Karimi

subject

Takagi sugenoControl theoryControl and Systems EngineeringObserver (special relativity)Linear matrixModel matchingResidualFault detection and isolationParametric statisticsMathematics

description

This paper deals with the design of robust fault detection system for Takagi-Sugeno (T-S) modes with parametric uncertainties and time-varying delay. An Unknown Input Observer (UIO) is designed such that the unknown inputs are thoroughly decoupled from residual signals while they show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. Since the system under consideration is subjected to parametric uncertainties, the H ∞ model matching approach is used to design an optimal observer. Design procedure is given in terms of Linear Matrix Inequalities (LMIs). Finally, a numerical example is presented to show the effectiveness of the proposed method.

yearjournalcountryeditionlanguage
2014-06-01
10.1109/ecc.2014.6862449http://hdl.handle.net/11311/1028736