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CDC
2009
IEEE

An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis

14 years 2 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existing work on TS models consider models with measurable decision variables. As a consequence, these works cannot be applied when the decision variables are not available to measurement. The idea of the proposed approach is to rewrite the TS model with unmeasurable premise variable into an uncertain TS model by introducing the estimated state in the model. The convergence of the state estimation error is studied using the Lyapunov theory and the stability conditions are given in terms of Linear Matrix Inequalities (LMIs). Finally, an academic example is given to illustrate the proposed approach, with an application to sensor fault detection and isolation using an observer bank.
Dalil Ichalal, Benoît Marx, José Rago
Added 02 Sep 2010
Updated 02 Sep 2010
Type Conference
Year 2009
Where CDC
Authors Dalil Ichalal, Benoît Marx, José Ragot, Didier Maquin
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