DocumentCode
354187
Title
A genetic algorithms learning based fuzzified CMAC controller
Author
Wang, Guo Chen ; Li, Lin ; Hui, Hui Su
Author_Institution
Dalian Maritime Univ., China
Volume
2
fYear
2000
fDate
2000
Firstpage
915
Abstract
A genetic algorithms (GA) learning based fuzzified cerebellar model articulation controller (FCMAC), called GA-FCMAC, where the connecting weights of FCMAC are learnt and optimized by GA is presented in the paper. The GA-FCMAC is adapted to multi-input multi-output systems. The simulation results of a nonlinear inverted pendulum demonstrate the effectiveness and feasibility of the proposed algorithm
Keywords
MIMO systems; cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); neurocontrollers; pendulums; MIMO systems; cerebellar model articulation controller; connecting weights; fuzzy CMAC; fuzzy control; fuzzy neural network; genetic algorithms; inverted pendulum; learning; neurocontrol; Genetic algorithms; Joining processes;
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.2000.863366
Filename
863366
Link To Document