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    Event-triggered ε level H∞ probabilistic control of uncertain systems

    Access Status
    Fulltext not available
    Authors
    Yin, YanYan
    Liu, Y.
    Teo, Kok Lay
    Wang, Song
    Liu, F.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Yin, Y. and Liu, Y. and Teo, K.L. and Wang, S. and Liu, F. 2018. Event-triggered ε level H∞ probabilistic control of uncertain systems. Journal of the Franklin Institute.
    Source Title
    Journal of the Franklin Institute
    DOI
    10.1016/j.jfranklin.2018.11.008
    ISSN
    0016-0032
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/71029
    Collection
    • Curtin Research Publications
    Abstract

    The Franklin Institute In this paper, a new event-trigger based probabilistic controller is designed using a scenario optimization approach for the robust stabilization of uncertain systems subject to nonlinear and unbounded uncertainties. Sufficient probabilistic stabilization conditions are derived under which the closed-loop system is e level robust probabilistic stable. Based on these conditions, the design of the gains of the event-triggered state feedback controller is formulated and solved as an optimization problem involving linear matrix inequality. The applicability of theoretical results obtained is illustrated by a numerical example.

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