Fuzzy Neural Network Based Predictive Control of Chaotic Nonlinear Systems(Neural Networks and Bioengineering)

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概要

• 論文の詳細を見る

• In this paper, we present a predictive control method, based on Fuzzy Neural Network (FNN), for the control of chaotic systems without precise mathematical models. In our design method, the parameters of both predictor and controller are tuned by a simple gradient descent scheme, and the weight parameters of the FNN are determined adaptively throughout system operations. In order to design the predictive controller effectively, we describe the computing procedure for each of the two important parameters. In addition, we introduce a projection matrix for determining the control input, which decreases the control performance function very rapidly. Finally, we depict various computer simulations on two representative chaotic systems (the Duffing and Henon systems) so as to demonstrate the effectiveness of the new chaos control method.

• 社団法人電子情報通信学会の論文
• 2004-05-01

著者

• Choi Yoon

  School Of Electronic Eng. Kyonggi University

• CHOI Jong

  Dept. of Electrical and Electronic Eng., Yonsei University

• Choi Jong

  Dept. Of Electrical And Electronic Eng. Yonsei University

• CHOI Yoon

  School of Electronic Eng., Kyonggi University

関連論文

• Fuzzy Neural Network Based Predictive Control of Chaotic Nonlinear Systems(Neural Networks and Bioengineering)

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