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Optimization of a fuzzy controller using neural network

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1 Author(s)
Wei Li ; Dept. of Comput. Sci., Tsinghua Univ., Beijing, China

This paper presents a strategy for optimization of a fuzzy logic controller based on a control scheme, which consists of a fuzzy logic controller and a conventional derivative controller. For this purpose, we first choose a set of membership functions regarding change-in-error e˙, which represent the feedback of velocity. Then we optimize them using neural network in self-organizing process. To demonstrate the effectiveness of the proposed method, we report a number of simulation results involving both step and tracking control of a nonlinear plant

Published in:

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Date of Conference:

26-29 Jun 1994

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