Gain scheduling using time-varying kalman filter for a class of LPV systems

Sung Han Cha, Brian D.O. Anderson, Michael Rotkowitz

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

    1 Citation (Scopus)

    Abstract

    Current gain-scheduling approaches only assure stability when the underlying parameter varies sufficiently slowly, and hence stable closed-loop is not guaranteed for more general (i.e. faster) parameter variations. Shamma and Athans (1992) provides a solution to overcome this by computing Riccati Differential Equation (RDE) online for the current parameter value with the offline Algebraic Riccati Equation (ARE) solutions for every parameter value, which is computationally demanding. This paper achieves a very significant simplification, by showing how only a finite number of AREs need be used and the online RDE solutions can be computed by table look-up and matrix inversion. In simulations the method yields results indistinguishable from those achieved in Shamma and Athans (1992).

    Original languageEnglish
    Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
    Edition1 PART 1
    DOIs
    Publication statusPublished - 2008
    Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
    Duration: 6 Jul 200811 Jul 2008

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    Number1 PART 1
    Volume17
    ISSN (Print)1474-6670

    Conference

    Conference17th World Congress, International Federation of Automatic Control, IFAC
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period6/07/0811/07/08

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