Title : 
A genetic algorithms learning based fuzzified CMAC controller
         
        
            Author : 
Wang, Guo Chen ; Li, Lin ; Hui, Hui Su
         
        
            Author_Institution : 
Dalian Maritime Univ., China
         
        
        
        
        
        
            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;
         
        
        
        
            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.2000.863366