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An LMI approach to H fuzzy-output feedback control for nonlinear systems

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3 Author(s)
Cheng-Liang Chen ; Dept. of Chem. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Tzxy-Chyi Wang ; Shuo-Huan Hsu

An LMI approach for designing an H fuzzy controller for nonlinear dynamic systems is presented. The entire operating range for a nonlinear system is partitioned into several regimes. A local linear model with parameter uncertainties is identified for each region. These local models are integrated as the norm-bounded Tagaki-Sugeno (T-S) fuzzy model. The output feedback H fuzzy controller design procedures are then investigated based on the T-S fuzzy model, therein the standard H design problem is formulated as Linear Matrix Inequalities (LMIs). The necessary and sufficient conditions for the existence of an H controller is derived. One numerical example is supplied, demonstrating the effectiveness of the proposed design procedures

Published in:

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th  (Volume:3 )

Date of Conference:

25-28 July 2001