陳誠亮2006-07-252018-06-282006-07-252018-06-282003http://ntur.lib.ntu.edu.tw//handle/246246/9320An LMI approach for designing an H ∞fuzzy controller for nonlinear dynamic systems is presented. The entire oper-ating 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 out-put feedback H ∞fuzzy controller design procedures are then investigated based on the T-S fuzzy model, theirin the standard H ∞design problem is formulated as Linear Matrix Inequali-ties (LMIs). The necessary and suficient conditions for the ex-istence of an H ∞controller is derived. One numerical example is supplied, demonstrating the effectiveness of the proposed de-sign procedures.application/pdf132140 bytesapplication/pdfzh-TW國立臺灣大學化學工程學系暨研究所reporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/9320/1/912214E002001.pdf