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A Design of Improved FCMAC Neural Network

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2 Author(s)
Liu Li-ye ; Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China ; Ma Cui-hong

Aiming at the parameters of fuzzy controller and CMAC neural network are difficult to tune,GA is introduced to the control system to optimize the parameters of fuzzy CMAC neural network. The strong points of fuzzy control, CMAC, genetic algorithms and improved structure are together. A FCMAC control system is designed based on modified GA. Both the overall architecture of the system and the design of every part are proposed here. The results of simulation show that the proposed control system has better performance in the learning ability and approximation accuracy.

Published in:

Control, Automation and Systems Engineering (CASE), 2011 International Conference on

Date of Conference:

30-31 July 2011