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contributor authorWen-Jer Chang
date accessioned2017-05-09T00:09:48Z
date available2017-05-09T00:09:48Z
date copyrightMarch, 2003
date issued2003
identifier issn0022-0434
identifier otherJDSMAA-26314#42_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/128149
description abstractIn this paper, a fuzzy control design method is be developed for the plant model whose structure is represented by the Takagi-Sugeno fuzzy model. In each rule of the Takagi-Sugeno fuzzy model, the system is characterized by linear dynamics given in the controllability canonical form. Replacing the Lyapunov inequality with a Lyapunov equation for stability analysis, the proposed method will make use of the inverse solution of Lyapunov equations to obtain a common Lyapunov function for all the subsystems. Based on this solution, the fuzzy controller can be constructed by using the parallel distributed compensation technique.
publisherThe American Society of Mechanical Engineers (ASME)
titleFuzzy Controller Design via the Inverse Solution of Lyapunov Equations
typeJournal Paper
journal volume125
journal issue1
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.1540996
journal fristpage42
journal lastpage47
identifier eissn1528-9028
keywordsStability
keywordsControl equipment
keywordsDesign
keywordsEquations
keywordsFuzzy control
keywordsFeedback
keywordsFuzzy logic AND Theorems (Mathematics)
treeJournal of Dynamic Systems, Measurement, and Control:;2003:;volume( 125 ):;issue: 001
contenttypeFulltext


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