DocumentCode
3161091
Title
An integrated algorithm of fuzzy modeling and controller design for nonlinear systems
Author
Tanaka, Kazuo ; Hori, Tsuyosbi ; Yamafuji, Kazuo ; Wang, Hua O.
Author_Institution
Dept. of Mech. Eng. & Intelligent Syst., Univ. of Electro-Commun., Tokyo, Japan
Volume
2
fYear
1999
fDate
22-25 Aug. 1999
Firstpage
887
Abstract
This paper presents an integrated algorithm of fuzzy modeling and controller design. An LMI condition to identify the parameters of a Takagi-Sugeno fuzzy model (T-S fuzzy model) is derived. More importantly, we achieve stable fuzzy control for the identified T-S fuzzy model. The fuzzy modeling and controller design are applied to vision tracking control using a two-link manipulator with a CCD camera. The experimental results show the utility of the proposed integrated algorithm of fuzzy modeling and controller design.
Keywords
CCD image sensors; control system synthesis; fuzzy control; manipulators; matrix algebra; nonlinear control systems; optical tracking; parameter estimation; CCD camera; LMI condition; fuzzy controller design; fuzzy modeling; integrated algorithm; nonlinear systems; two-link manipulator; vision tracking control; Algorithm design and analysis; Charge coupled devices; Charge-coupled image sensors; Fuzzy control; Fuzzy systems; Manipulator dynamics; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location
Seoul, South Korea
ISSN
1098-7584
Print_ISBN
0-7803-5406-0
Type
conf
DOI
10.1109/FUZZY.1999.793067
Filename
793067
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