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    Gain scheduled L-two-L-infinity filtering for neutral systems with jumping and time-varying parameters

    Access Status
    Fulltext not available
    Authors
    Yin, YanYan
    Liu, F.
    Shi, Y.
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Yin, Y. and Liu, F. and Shi, Y. 2012. Gain scheduled L-two-L-infinity filtering for neutral systems with jumping and time-varying parameters. Journal of Control Theory and Applications. 10 (1): pp. 118-123.
    Source Title
    Journal of Control Theory and Applications
    DOI
    10.1007/s11768-012-8136-z
    ISSN
    1672-6340
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/52711
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L-infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L-two-L-infinity filtering systems are designed for such linear jump systems. Finally, continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques. © 2012 South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

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