DocumentCode
325203
Title
Stable filter design of fuzzy dynamic systems
Author
Feng, G. ; Lee, T.H. ; Zhang, N.
Author_Institution
Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia
Volume
1
fYear
1998
fDate
4-9 May 1998
Firstpage
474
Abstract
Filter design of complex nonlinear systems, which can be represented by a fuzzy dynamic model, is addressed in this paper. New filtering design methods are proposed based on quadratic stability theory and linear matrix inequalities (LMI). A number of constructive algorithms are developed which can guarantee the stability of the global filter system
Keywords
Lyapunov methods; filtering theory; fuzzy systems; matrix algebra; nonlinear control systems; stability; complex nonlinear systems; fuzzy dynamic systems; linear matrix inequalities; quadratic stability theory; Australia; Design methodology; Filtering; Filters; Fuzzy sets; Fuzzy systems; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.687532
Filename
687532
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