• DocumentCode
    745000
  • Title

    On avoiding vertexization of robustness problems: the approximate feasibility concept

  • Author

    Barmish, B. Ross ; Shcherbakov, Pavel S.

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    47
  • Issue
    5
  • fYear
    2002
  • fDate
    5/1/2002 12:00:00 AM
  • Firstpage
    819
  • Lastpage
    824
  • Abstract
    For a large class of robustness problems with uncertain parameter vector q confined to a box Q, there are many papers providing results along the following lines. The desired performance specification is robustly satisfied for all q∈Q if and only if it is satisfied at each vertex qi of Q. Since the number of vertices of Q explodes combinatorically with the dimension of q, the computation associated with the implementation of such results is often intractable. The main point of this paper is to introduce a new approach to such problems aimed at alleviation of this computational complexity problem. To this end, the notion of approximate feasibility is introduced, and the theory which follows from this definition is vertex-free
  • Keywords
    Monte Carlo methods; computational complexity; convex programming; feedback; robust control; Monte Carlo methods; approximate feasibility; approximate feasibility concept; computational complexity; convex optimization; performance specification; robustness analysis; robustness problems; uncertain parameter vector; Automatic control; Automatic programming; Automatic testing; Combinatorial mathematics; Computational complexity; Computer languages; Design optimization; Functional programming; Linear matrix inequalities; Robustness;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2002.1000280
  • Filename
    1000280