On the sensitivity of the control structure selection problems in large scale multivariable systems

Amin Nobakhti, Martin Brown, Hong Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Current approaches to solve the control structure selection problem either rely on the control engineer's experience and intuition, or solutions of difficult and nonconvex combinatorial optimisation problems. In this paper a set of new computationally inexpensive graphical analysis tools based on basis pursuit regularization methods are presented which provide significant insight into the control structure selection problem. With the aid of an example it is shown how these tools are used directly to assess the local structural sensitivity of the problem and identify key and important connections within the controller. © 2007 IEEE.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control|Proc IEEE Conf Decis Control
    Pages4116-4121
    Number of pages5
    DOIs
    Publication statusPublished - 2007
    Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA
    Duration: 1 Jul 2007 → …

    Conference

    Conference46th IEEE Conference on Decision and Control 2007, CDC
    CityNew Orleans, LA
    Period1/07/07 → …

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