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Adaptive Control of Unknown Chaotic System via Dynamic Neural Networks |
Tan Wen①②; Wang Yao-Nan② |
①Dept of Info Hunan Univ. of Sci. and Tech.,Xiangtan 411201 China;②College of Eectrical and Info. Eng., Hunan University Changsha 410082 China |
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Abstract A new robust adaptive identification-based control of chaotic system with uncertain parameters in view of modeling error is proposed in this paper. The objective is to adjust the unknown chaos to a fixed point. It is fulfilled by taking following two steps: a dynamical neural network is used as system identifier, then a controller based on identification estimates is established to direct the chaos states towards desired target. Also, rigorous mathematical proof is given to analyze the stability properties of the system. Finally, the effectiveness of the proposed method is demonstrated by the Duffing equation.
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Received: 01 August 2003
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