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Adaptive Synchronization of Uncertain Chaotic Systems Based on Fuzzy Observer

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

Abstract

For the uncertain chaotic systems, a synchronization design scheme based on a fuzzy observer is proposed. The T-S fuzzy models for uncertain chaotic systems are exactly derived. Based on the fuzzy chaotic models, an observer for synchronization of the uncertain chaotic systems is designed via the adaptive technique. For the unknown parameters of uncertain chaotic systems, the adaptive law is derived to estimate them and the stability is guaranteed by Lyapunov stability theory. The simulation examples are given to demonstrate the validity of the proposed approach.

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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). Adaptive Synchronization of Uncertain Chaotic Systems Based on Fuzzy Observer. 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_35

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_35

  • 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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