Title :
CMAC neural network fuzzy control
Author :
Fuzhang, Zhou ; Weixiang, Shi
Author_Institution :
Luoyang Inst. of Technol., China
fDate :
29 Sep-1 Oct 1997
Abstract :
This paper proposes a new method of CMAC neural network fuzzy control technique by combining the advantages of CMAC neural networks and fuzzy control. The study focuses mainly on the control algorithm for the realization of the control method and training method of the neural network. Finally, the authors apply this new method for the control of a two degree of freedom robot hand. From the simulation and experimental results, it was proved that the method described can realize an online (real-time) control of a high-response servomechanism
Keywords :
cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; learning (artificial intelligence); manipulators; neurocontrollers; real-time systems; servomechanisms; CMAC neural network; fuzzy control; fuzzy neural network; online control; real-time systems; robot hand; servomechanism; Brain modeling; Computer networks; Control systems; Fault tolerance; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Neural networks; Robots; Vectors;
Conference_Titel :
Robot and Human Communication, 1997. RO-MAN '97. Proceedings., 6th IEEE International Workshop on
Conference_Location :
Sendai
Print_ISBN :
0-7803-4076-0
DOI :
10.1109/ROMAN.1997.646988
