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Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Intelligent Fuzzy Controller for Nonlinear Systems
¿µ¹®Á¦¸ñ(English Title) Intelligent Fuzzy Controller for Nonlinear Systems
ÀúÀÚ(Author) Young-Hoon Joo   Sang-Jun Lee   Jae-Heung Oh  
¿ø¹®¼ö·Ïó(Citation) VOL 02 NO. 02 PP. 0139 ~ 0145 (2002. 06)
Çѱ۳»¿ë
(Korean Abstract)
 
¿µ¹®³»¿ë
(English Abstract)
In this paper, we proposed an intelligent digital redesign method for a class of fuzzy-model-based controllers, effective for stabilization of continuous-time nonlinear systems. The TS fuzzy model is used to expend the results of the digital redesign technique to nonlinear systems. The proposed method utilized the recently developed LMI technique to obtain a digitally redesigned fuzzy-model-based controller. The intelligent digital redesign problem is converted to equivalent problem, and the LMI method is used to find the digitally redesigned fuzzy-model-based controller. The stabilization conditions of TS fuzzy model are derived for stabilization in the sense of Laypunov stability. In order to demonstrates the effectiveness and feasibility of the proposed controller design methodology, we applied this method to the single link flexible-joint robot arm.
Å°¿öµå(Keyword) Fuzzy control   Linear matrix inequality   Nonlinear system   single link flexible-joint robot arm  
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