Title :
CMAC neural network fuzzy control
Author :
Weixiang, Shi ; Fuzhang, Zhou
Author_Institution :
Coll. of Eng., Xi´´an Jiaotong Univ., China
Abstract :
This thesis combines the advantages of the CMAC neural network and fuzzy control. It proposes a new method of CMAC neural network fuzzy control. On the basis of theoretical study it mainly researches the control algorithm, which can realize the control method, and the training method of the neural network. It uses this new method on the control of a two-degree-of freedom robot hand. By simulation and experimental research, it is proved that the method has a series of advantages. It can realize in-line (real-time) control of the high-response servo-mechanism
Keywords :
cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; learning (artificial intelligence); manipulators; neurocontrollers; CMAC neural network; CMAC neural network fuzzy control; control algorithm; control method; fuzzy control; high-response servo-mechanism; real-time control; training method; two-degree-of freedom robot hand; Brain modeling; Computer networks; Design methodology; Educational institutions; Fault tolerance; Fuzzy control; Logic; Neural networks; Robots; Vectors;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.571021
