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    Sampled-data stabilization of chaotic systems based on a T-S fuzzy model

    Access Status
    Fulltext not available
    Authors
    Zeng, H.
    Teo, Kok Lay
    He, Y.
    Wang, W.
    Date
    2019
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zeng, H. and Teo, K.L. and He, Y. and Wang, W. 2019. Sampled-data stabilization of chaotic systems based on a T-S fuzzy model. Information Sciences. 483: pp. 262-272.
    Source Title
    Information Sciences
    DOI
    10.1016/j.ins.2019.01.046
    ISSN
    0020-0255
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/74444
    Collection
    • Curtin Research Publications
    Abstract

    This paper investigates the problem of stability and stabilization of a class of chaotic system through the use of sampled-data control. By employing a Takagi–Sugeno (T-S) fuzzy model to describe the chaotic system and using a time-dependent Lyapunov function, an exponential stability condition is derived for the resulting closed-loop systems with input saturation constraint. Based on this condition, a fuzzy sampled-data controller is designed to stabilize the systems under consideration. The results obtained in this paper are based on the actual characteristic of sampling model. They depend explicitly on both the upper and lower bounds of sampling intervals. The chaotic Lorenz system is considered and solved by using the proposed approach so as to demonstrate the benefits and the superiority of the proposed approach over existing methods.

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