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
Link To Document :
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