Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2000.11d
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- Pages.621-623
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- 2000
Design of Predictive Controller for Chaotic Nonlinear Systems using Fuzzy Neural Networks
퍼지 신경 회로망을 이용한 혼돈 비선형 시스템의 예측 제어기 설계
- Choi, Jong-Tae (Electrical and Electronic Engineering, Yonsei Univ.) ;
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Park, Jin-Bae
(Electrical and Electronic Engineering, Yonsei Univ.) ;
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Choi, Yoon-Ho
(Electronic Engineering, Kyonggi Univ.)
- Published : 2000.11.25
Abstract
In this paper, the effective design method of the predictive controller using fuzzy neural networks(FNNs) is presented for the Intelligent control of chaotic nonlinear systems. In our design method of controller, predictor parameters are tuned by the error value between the actual output of a chaotic nonlinear system and that of a fuzzy neural network model. And the parameters of predictive controller using fuzzy neural network are tuned by the gradient descent method which uses control error value between the actual output of a chaotic nonlinear system and the reference signal. In order to evaluate the performance of our controller, it is applied to the Duffing system which are the representative continuous-time chaotic nonlinear systems and the Henon system which are representative discrete-time chaotic nonlinear systems.
Keywords