CMAC neural network fuzzy control

Author

Weixiang, Shi ; Fuzhang, Zhou

Author_Institution

Coll. of Eng., Xi´´an Jiaotong Univ., China

Volume

1

fYear

1996

fDate

5-10 Aug 1996

Firstpage

584

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IECON.1996.571021

Filename

571021