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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4681))

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Abstract

The orthogonal function neural network is utilized to realize the general H  ∞  synchronization of chaotic systems with different structures. The driving system and the reference system are both disturbed by the external perturbation. Continuous controller is utilized to realize the general H  ∞  synchronization of chaotic systems according to nonlinear H  ∞  control theory. Lorenz system and Rössler system are utilized to simulate to illustrate the performance of the proposed method. The simulation results can show the validity of the proposed method.

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De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer Berlin Heidelberg

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Zhang, W., Wu, X. (2007). General H  ∞  Synchronization of Chaotic Systems Via Orthogonal Function Neural Network. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_49

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74170-1

  • Online ISBN: 978-3-540-74171-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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