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    Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems

    Access Status
    Fulltext not available
    Authors
    Xu, Honglei
    Teo, Kok Lay
    Jiang, C.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Xu, H. and Teo, K.L. and Jiang, C. 2015. Exponential H∞ stabilizing control of a class of uncertain impulsive switched systems. Pacific Journal of Optimization. 11 (3): pp. 549-556.
    Source Title
    PACIFIC JOURNAL OF OPTIMIZATION
    Additional URLs
    http://www.ybook.co.jp/online2/oppjo/vol11/p549.html
    ISSN
    1348-9151
    School
    Department of Mathematics and Statistics
    URI
    http://hdl.handle.net/20.500.11937/3522
    Collection
    • Curtin Research Publications
    Abstract

    Sparse tensor optimization has recently attracted much attention since it has many applications in areas such as biology, computer vision and information science. In this paper, we focus on the application of tensor optimization in surveillance video. Based on the static background of surveillance video, we introduce the new definition of rank-min-one tensor. Then we consider a rank-min-one and sparse tensor decomposition model for surveillance video. We establish the modified iterative reweighted l1algorithm (MIRL1), and give its convergence analysis. For synthetic and real surveillance data, numerical experiments are also presented to illustrate the efficiency of our proposed MIRL1.

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