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    Rank Stability Radius for a Matrix with Structured Scalar Perturbations

    133829_133829.pdf (451.0Kb)
    Access Status
    Open access
    Authors
    Xing, W.
    Yan, W.
    Liu, Wan-quan
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Xing, W. and Yan, W. and Liu, Wan-quan. 2009. Rank Stability Radius for a Matrix with Structured Scalar Perturbations, in Bailliul, J. and Gua, L. (ed), 48th CDC/28th CCC 09, Dec 16 2009, pp. 6160-6165. Shanghai, P.R. China: IEEE.
    Source Title
    Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference,
    Source Conference
    48th CDC/28th CCC 09
    Additional URLs
    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5400932
    ISBN
    9781424438723
    Faculty
    Department of Electrical and Computer Engineering
    School of Engineering
    Faculty of Science and Engineering
    Remarks

    Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/17983
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, the rank stability radius problem is proposed for a real matrix under structured scalar perturbations and some interesting results are achieved based on polynomial analysis. In addition, a computable formula and a two-step procedure are obtained which nicely solves the problem in this simple set up. Finally, these results on rank stability radius are used to estimate the stability robustness of descriptor systems, and for a special class of symmetric descriptor systems, the rank stability radius is proved to be equal to the system stability radius.

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