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An adaptive approach based on Bernstein polynomial to predict chaotic time series

Yan Hua Wei Ping Xiao Xian-Ci

An adaptive approach based on Bernstein polynomial to predict chaotic time series

Yan Hua, Wei Ping, Xiao Xian-Ci
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Publishing process
  • Received Date:  27 December 2005
  • Accepted Date:  19 December 2006
  • Published Online:  20 September 2007

An adaptive approach based on Bernstein polynomial to predict chaotic time series

  • 1. 电子科技大学电子工程学院,成都 610054

Abstract: In this paper, we propose an approach using the Bernstein polynomial to model the dynamics of chaotic time series. Combining it with RLS algorithm, we can predict the chaotic time series adaptively. Theoretical analysis and computer simulation have demonstrated that this approach can provide high precision and satisfactory percentage of prediction for some typical chaotic time series. Because of the fast convergence of RLS algorithm, this approach can be applied to predicting short record chaotic time series in real time.

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