Title : 
GPFIS-Control: A fuzzy Genetic model for Control tasks
         
        
            Author : 
Koshiyama, Adriano S. ; Escovedo, Tatiana ; Vellasco, Marley M. B. R. ; Tanscheit, Ricardo
         
        
            Author_Institution : 
Dept. of Electr. Eng., Pontifical Catholic Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
         
        
        
        
        
        
            Abstract : 
This work presents a Genetic Fuzzy Controller (GFC), called Genetic Programming Fuzzy Inference System for Control tasks (GPFIS-Control). It is based on Multi-Gene Genetic Programming, a variant of canonical Genetic Programming. The main characteristics and concepts of this approach are described, as well as its distinctions from other GFCs. Two benchmarks application of GPFIS-Control are considered: the Cart-Centering Problem and the Inverted Pendulum. In both cases results demonstrate the superiority and potentialities of GPFIS-Control in relation to other GFCs found in the literature.
         
        
            Keywords : 
fuzzy control; fuzzy reasoning; genetic algorithms; nonlinear control systems; GPFIS-control; canonical genetic programming; cart-centering problem; fuzzy genetic model; genetic fuzzy controller; genetic programming fuzzy inference system for control tasks; inverted pendulum; multigene genetic programming; Equations; Fuzzy sets; Genetic algorithms; Genetic programming; Mathematical model; Pragmatics; Fuzzy Logic Control; Genetic Fuzzy Controller; Muti-Gene Genetic Programming;
         
        
        
        
            Conference_Titel : 
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
         
        
            Conference_Location : 
Beijing
         
        
            Print_ISBN : 
978-1-4799-2073-0
         
        
        
            DOI : 
10.1109/FUZZ-IEEE.2014.6891733