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Hardware design of CMAC neural network for control applications

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3 Author(s)
Chan-Mo Kim ; Dept. of Electron. Eng., Kon-Kuk Univ., Seoul, South Korea ; Kwang-Ho Choi ; Cho, Y.B.

CMAC neural network is one useful learning technique based on the cerebellum's motor behavior. CMAC uses a table look-up method to resolve the complex non-linear system instead of a numerical calculation method. The result is in better and faster controller for nonlinear dynamical system. In this paper, we propose a CMAC neural network for controlling a non-linear system. The simulation results show that the proposed CMAC controllers for a simple non-linear function and a DC motor speed control reduce tracking errors and improve the stability of its learning controllers. The validity of the proposed CMAC controller is also proved by the real-time tension control. Besides, hardware design of CMAC for control application has been implemented to confirm the proposed approach and architecture.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:2 )

Date of Conference:

20-24 July 2003