DocumentCode
2173990
Title
Is bridging the gap between fuzzy and nonlinear control possible (partially)?
Author
Sala, Antonio
Author_Institution
Syst. Eng. & Control Dept., Univ. Politec. de Valencia, Valencia, Spain
fYear
2007
fDate
2-5 July 2007
Firstpage
4451
Lastpage
4452
Abstract
LMI formulations for fuzzy control became the tool of choice in the 1990s. Many nonlinear systems can be modelled as fuzzy systems (sector-nonlinearity), so fuzzy control may be considered as a technique for nonlinear control. Fruitful results have been obtained, but some sources of conservativeness remain when compared to other nonlinear approaches. This paper outlines such conservativeness issues (shadows), and discusses some ideas (lights) on overcoming them.
Keywords
fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; LMI formulations; fuzzy control; fuzzy systems; nonlinear control; nonlinear systems; sector-nonlinearity; Cognition; Fuzzy control; Lyapunov methods; Shape; Stability analysis; Takagi-Sugeno model; LMI; fuzzy control; relaxed stability conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2007 European
Conference_Location
Kos
Print_ISBN
978-3-9524173-8-6
Type
conf
Filename
7069034
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