DocumentCode
3446746
Title
CMAC neural network fuzzy control
Author
Fuzhang, Zhou ; Weixiang, Shi
Author_Institution
Luoyang Inst. of Technol., China
fYear
1997
fDate
29 Sep-1 Oct 1997
Firstpage
236
Lastpage
241
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ROMAN.1997.646988
Filename
646988
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