Abstract
This paper aims to present the combination of chaotic signal and evolutionary algorithm to estimate the unknown parameters in five-dimensional chaotic synchronization system via the active-passive decomposition method. The self-organizing migrating algorithm was used to estimate the unknown parameters. Based on the results from evolutionary algorithm, two identical chaotic systems were synchronized.
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References
Chen, M., Han, Z.: Controlling and synchronizing chaotic genesio system via nonlinear feedback control. Chaos, Solitons & Fractals 17(4), 709–716 (2003)
Ding, M., Ott, E.: Enhancing synchronism of chaotic systems. Physical Review E 49(2), 945–948 (1994)
Ivan, Z.: Soma–self organizing migrating algorithm. New Optimization Techniques in Engineering, ch. 7, 33 p. Springer (2004) ISBN pp. 3–540
Kocarev, L., Parlitz, U.: General approach for chaotic synchronization with applications to communication. Physical Review Letters 74(25), 5028–5031 (1995)
Nguyen, T., Zelinka, I.: Using method of artificial intelligence to estimate parameters of chaotic synchronization system. In: Proceedings of 17th International Conference on Soft Computing, vol. 1, pp. 22–29 (2011)
Parlitz, U.: Estimating model parameters from time series by autosynchronization. Physical Review Letters 76(8), 1232–1235 (1996)
Pecora, L., Carroll, T.: Synchronization in chaotic systems. Physical Review Letters 64(8), 821–824 (1990)
Roy, D., Musielak, Z.: Generalized lorenz models and their routes to chaos. ii. energy-conserving horizontal mode truncations. Chaos, Solitons & Fractals 31(3), 747–756 (2007)
Shen, L., Wang, M.: Robust synchronization and parameter identification on a class of uncertain chaotic systems. Chaos, Solitons & Fractals 38(1), 106–111 (2008)
Wu, X., Hu, H., Zhang, B.: Parameter estimation only from the symbolic sequences generated by chaos system. Chaos, Solitons & Fractals 22(2), 359–366 (2004)
Zelinka, I.: Real-time deterministic chaos control by means of selected evolutionary techniques. Engineering Applications of Artificial Intelligence 22(2), 283–297 (2009)
Zelinka, I.: Self-organizing migrating algorithm (2011), http://www.ft.utb.cz/people/zelinka/soma/
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Nguyen, T.D., Phan, T.T.D., Zelinka, I. (2013). Application of Self-Organizing Migrating Algorithm in Five-Dimensional Chaotic Synchronization Systems via Active-Passive Decomposition. 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_22
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DOI: https://doi.org/10.1007/978-3-642-33227-2_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33226-5
Online ISBN: 978-3-642-33227-2
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