Super-optimization for a class of four-block problems

P.O. Nyman, P.O. Nyman

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    Abstract

    A super-optimization method applicable to a reasonably large class of genuine four-block problems is outlined via a dimension-reducing technique based on the so-called equalizer principle. It successively reduces the original problem to super-optimizations problems with steadily fewer singular values, until finally all freedom is exhausted. Each step amounts to an ordinary H¿ optimization of the largest remaining singular value, and a subsequent removal of this singular value. The proposed procedure allows computation of superoptimal solutions for a large class of model-matching problems, including all one-block problems and a significant portion of genuine two- and four-block problems
    Original languageUndefined
    Title of host publication30th CDC
    Place of PublicationBrighton, U.K.
    PublisherIEEE
    Pages210-211
    Number of pages2
    DOIs
    Publication statusPublished - 11 Dec 1991
    Event30th IEEE Conference on Decision and Control, CDC 1991 - Brighton, United Kingdom
    Duration: 11 Dec 199113 Dec 1991
    Conference number: 30

    Publication series

    Name
    PublisherIEEE
    Volume1

    Conference

    Conference30th IEEE Conference on Decision and Control, CDC 1991
    Abbreviated titleCDC
    CountryUnited Kingdom
    CityBrighton
    Period11/12/9113/12/91

    Keywords

    • METIS-141560
    • IR-30919

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