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    Sampled-data-based dissipative control of T-S fuzzy systems

    Access Status
    Fulltext not available
    Authors
    Zeng, H.
    Teo, Kok Lay
    He, Y.
    Wang, W.
    Date
    2019
    Type
    Journal Article
    
    Metadata
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    Citation
    Zeng, H. and Teo, K.L. and He, Y. and Wang, W. 2019. Sampled-data-based dissipative control of T-S fuzzy systems. Applied Mathematical Modelling. 65: pp. 415-427.
    Source Title
    Applied Mathematical Modelling
    DOI
    10.1016/j.apm.2018.08.012
    ISSN
    0307-904X
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/72619
    Collection
    • Curtin Research Publications
    Abstract

    This paper investigates the problem of sampled-data-based dissipative control of Takagi–Sugeno (T-S) fuzzy systems. The sampling period is assumed to be varying within an interval. By making full use of realistic information about the whole sampling interval, we propose a novel complete sampling-interval-dependent looped function, which depends not only on the interval from x(t) to x(tk) but also on the interval from x(t) to x(tk+1). Based on this function, a sufficient condition is established, ensuring the considered system strictly (Q,S,R)-?-dissipative. Furthermore, a approach to design desired sampled-data controllers is proposed. It is applied to solve the problems of a truck-trailer and an inverted pendulum. From the results obtained, we see that this approach is highly effective.

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