DocumentCode
354091
Title
A method of fuzzy modeling for non-linear systems
Author
Hongwei, Wang ; Hangen, He ; Kedi, Huang
Author_Institution
Dept. of Autom. Control, Nat. Univ. of Defence Technol., Changsha, China
Volume
3
fYear
2000
fDate
2000
Firstpage
2163
Abstract
A method of fuzzy identification based on a new objective function is proposed. There are two items in the new objective function, including the goal of fuzzy clustering and the goal of identification. It is testified that the method could simultaneously make the structure of the fuzzy model optimum and estimate parameters of fuzzy model through a theorem. The method makes the fuzzy modeling simple. Simulation results demonstrate that the method could identify non-linear systems and improve identification accuracy
Keywords
Kalman filters; filtering theory; fuzzy set theory; identification; modelling; nonlinear systems; fuzzy clustering; fuzzy identification; fuzzy modeling; identification accuracy; Filtering; Fuzzy systems; Helium; Kalman filters; Parameter estimation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862985
Filename
862985
Link To Document