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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2011, Number 2(3), Pages 5–11
DOI: https://doi.org/10.18454/2079-6641-2011-3-2-5-11 (Mi vkam85) 		 
MATHEMATICS

On stabilizing controller design for fuzzy system with uncertainty

V. A. Goryushkin

MATI» - Russian State University of Aviation Technology, 121552, Orshanskaya st., 3, Moscow, Russia
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DOI: https://doi.org/10.18454/2079-6641-2011-3-2-5-11
Abstract: This paper addresses fuzzy control systems, asymptotically stability analysis and fuzzy controllers design. A stabilizing control design method for nonlinear dynamical systems with uncertainties based on Takagi-Sugeno fuzzy models is discussed. The paper proposed asymptotic stability su?cient conditions for fuzzy control systems via Lyapunovs second method.
Keywords: nonlinear fuzzy control systems. Takagi-Sugeno fuzzy models, fuzzy systems with uncertainties, fuzzy Lyapunov function, stability, fuzzy controller, linear matrix inequalities.
Received: 05.11.2011
Bibliographic databases:
Document Type: Article
UDC: 519.71
MSC: 93C42
Language: Russian
Citation: V. A. Goryushkin, “On stabilizing controller design for fuzzy system with uncertainty”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2011, no. 2(3), 5–11
Citation in format AMSBIB
\Bibitem{Gor11}
\by V.~A.~Goryushkin
\paper On stabilizing controller design for fuzzy system with uncertainty
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2011
\issue 2(3)
\pages 5--11
\mathnet{http://mi.mathnet.ru/vkam85}
\crossref{https://doi.org/10.18454/2079-6641-2011-3-2-5-11}
\elib{https://elibrary.ru/item.asp?id=17215656}
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