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Based-Parameter Adaptive Synchronization of Time-Delay Chaotic Systems

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Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7332))

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Abstract

It’s important to estimate the unknown parameters of chaotic systems in chaos synchronization, so study synchronization of time-delayed chaotic systems of uncertain system parameters is meaningful. Here proposed a synchronized time-delayed chaotic systems of uncertain system parameters, which based on the Lyapunov-krasovskii functional theory. Use parameter identification and adaptive strategy, the time-delay synchronization controller and the adaptive law of parameters are designed respectively. It was proved by mathematical derivation. The simulation with three-dimensional and four-dimensional time-delay chaotic system shows that system synchronization is satisfied and the unknown parameters can be estimated ideally. Experiment results also indicate that the scheme was effective and universal.

Supported by :Foundation of JiangXi Educational Committee, GJJ11216

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© 2012 Springer-Verlag Berlin Heidelberg

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Huang, Y., Yin, L., Ding, W. (2012). Based-Parameter Adaptive Synchronization of Time-Delay Chaotic Systems. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_51

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  • DOI: https://doi.org/10.1007/978-3-642-31020-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31019-5

  • Online ISBN: 978-3-642-31020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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