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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862985
