Title :
A hierarchical evolutionary programming for identification of T-S fuzzy model
Author :
Xiaolan, Wang ; Xia, Li
Author_Institution :
Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., China
Abstract :
A hierarchical evolutionary programming for identifying T-S fuzzy model is proposed that uses hierarchical chromosome and can find the configuration and parameters of the model at the same time. The effectiveness of the new method is proved through simulating SISO and MISO system.
Keywords :
MIMO systems; cellular biophysics; evolutionary computation; fuzzy set theory; fuzzy systems; identification; MISO system; SISO system; T-S fuzzy model; hierarchical chromosomes; hierarchical evolutionary programming; identification; Biological cells; Clustering methods; Electronic mail; Genetic programming; Optimization methods;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1341997
