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    Constrained MPC design of nonlinear Markov jump system with nonhomogeneous process

    Access Status
    Fulltext not available
    Authors
    Liu, Y.
    Yin, Y.
    Liu, F.
    Teo, Kok Lay
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Liu, Y. and Yin, Y. and Liu, F. and Teo, K.L. 2015. Constrained MPC design of nonlinear Markov jump system with nonhomogeneous process. Nonlinear Analysis: Hybrid Systems. 17: pp. 1-9.
    Source Title
    Nonlinear Analysis: Hybrid Systems
    DOI
    10.1016/j.nahs.2015.01.001
    ISSN
    1751-570X
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/33543
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, a differential-inclusion-based MPC scheme is developed for the controller design for a discrete time nonlinear Markov jump system with nonhomogeneous transition probability. By adopting a differential-inclusion-based convex model predictive control mechanism, the nonlinear Markov jump system with nonhomogeneous transition probability is enclosed by a set of linear Markov jump systems. In this way, the controller design for the nonlinear Markov jump system can be solved via solving a set of linear Markov jump systems. Two numerical examples with different weighting parameters R are presented to illustrate the applicability of the results obtained.

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