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Optimal nonlinear filters based on the Takagi-Sugeno fuzzy model | IEEE Conference Publication | IEEE Xplore

Optimal nonlinear filters based on the Takagi-Sugeno fuzzy model


Abstract:

Treats the estimation of the output of interest for a class of nonlinear plants that admit the Takagi-Sugeno (TS) fuzzy model. Based on such a model, we propose the synth...Show More

Abstract:

Treats the estimation of the output of interest for a class of nonlinear plants that admit the Takagi-Sugeno (TS) fuzzy model. Based on such a model, we propose the synthesis of a filter whose estimation error is less than a prescribed fraction of the disturbance, by measure of the Euclidean norm. We also address the optimization of the filter's performance.
Date of Conference: 12-17 May 2002
Date Added to IEEE Xplore: 07 August 2002
Print ISBN:0-7803-7280-8
Conference Location: Honolulu, HI, USA

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