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Using Differential Evolution Algorithm in Six-Dimensional Chaotic Synchronization Systems

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Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 192))

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Abstract

This paper presents the use of artificial intelligence in the synchronization between two six-dimensional chaotic systems. Differential evolution algorithm is used to estimate the unknown parameters of six-dimensional chaotic synchronization system via Pecora and Carroll method. The parameters are estimated by minimizing the synchronization errors, and they are used to synchronize two systems. The optimal values ensure that the best quality of the synchronization is achieved.

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Correspondence to Thanh Dung Nguyen .

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Nguyen, T.D., Phan, T.T.D., Zelinka, I. (2013). Using Differential Evolution Algorithm in Six-Dimensional Chaotic Synchronization Systems. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-33227-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33226-5

  • Online ISBN: 978-3-642-33227-2

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