Robust Superstabilizing Controller Design from Open-Loop Experimental Input/Output Data

Y. Cheng, M. Sznaier, C. Lagoa

    Research output: Contribution to journalArticlepeer-review

    2 Scopus citations

    Abstract

    This paper considers the problem of directly synthesizing a stabilizing controller from experimental data, avoiding an explicit plant identification step. Its main result shows that, if a slightly stronger result is desired, namely super-stability rather than just stability, then the problem admits a solution if and only if a related Linear Program, obtained using robust optimization techniques, is feasible. In this case, solving this LP leads to a robust controller guaranteed to super-stabilize the entire consistency set while optimizing worse-case performance.

    Original languageEnglish (US)
    Pages (from-to)1337-1342
    Number of pages6
    JournalIFAC-PapersOnLine
    Volume48
    Issue number28
    DOIs
    StatePublished - 2015

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering

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