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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References
Cuomo, K., Oppenheim, A.: Circuit implementation of synchronized chaos with applications to communications. Physical Review Letters 71(1), 65–68 (1993)
Dung, N.: Chaos synchronization in none-ideal channel by differential evolution algorithm. In: 16th International Conference on Soft Computing Mendel 2010. Brno Univ. Technology Vut Press (2010)
Dung, N., Zelinka, I.: Chaos theory in secure communication. In: MENDEL 2009 (2009)
Güémez, J., MatÃas, M.: Modified method for synchronizing and cascading chaotic systems. Physical Review E 52(3), 2145–2148 (1995)
Kennamer, K.: Studies of the onset of chaos in the lorenz and generalized lorenz systems. Master’s thesis, University of Alabama in Huntsville (1995)
Onwubolu, G., Davendra, D.: Differential evolution: A handbook for global permutation-based combinatorial optimization, vol. 175. Springer (2009)
Parlitz, U.: Estimating model parameters from time series by autosynchronization. Physical Review Letters 76(8), 1232–1235 (1996)
Parlitz, U., Junge, L., Kocarev, L.: Synchronization-based parameter estimation from time series. Physical Review E 54(6), 6253–6259 (1996)
Pecora, L., Carroll, T.: Synchronization in chaotic systems. Physical Review Letters 64(8), 821–824 (1990)
Storn, R., Price, K.: Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. In: International Computer Science Institute-Publications-TR (1995)
Yu, H., Liu, Y.: Chaotic synchronization based on stability criterion of linear systems. Physics Letters A 314(4), 292–298 (2003)
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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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