Title :
A self-tuning neurofuzzy controller
Author_Institution :
Control Dept., Univ. Politechnic, Bucharest, Romania
Abstract :
A self-tuning fuzzy controller using the similarities from a fuzzy controller and a cerebellum model articulation controller (CMAC) architecture is presented. The high rate of convergence recommends this controller for real-time applications
Keywords :
cerebellar model arithmetic computers; convergence; fuzzy control; neurocontrollers; self-adjusting systems; CMAC; cerebellum model articulation controller; convergence rate; neural nets; neurofuzzy controller; self-tuning fuzzy controller; Biological neural networks; Error correction; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Humans; Interpolation; Tuning;
Conference_Titel :
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1206-6
DOI :
10.1109/ISIC.1993.397633
