Multimoment Matching Analysis of One-Sided Krylov Subspace Model Order Reduction for Nonlinear and Bilinear Systems

Oluwaleke Agbaje, Dina Shona Laila, Olivier Haas

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    — Modelling of complex systems comes with higher
    complexity and computational costs. Model order reduction
    enables better models to be exploited by control, diagnosis and
    prognosis algorithms. Effective model order reduction requires
    efficient methods to generate reduced order models. This is
    where the use of Krylov subspaces for model order reduction is
    of great advantage, especially when associated with high order
    bilinear model approximations of high order nonlinear models.
    This paper demonstrates the use of an Improved Phillips
    type projection for a one-sided Krylov subspace projection
    for reducing bilinear models. A new multimoment matching
    analysis of the proposed model reduction scheme is provided,
    and compared to some existing results in the literature
    Original languageEnglish
    Pages2599-2604
    Number of pages6
    Publication statusPublished - 15 Jun 2018
    Event2018 European Control Conference - Limassol, Limassol, Cyprus
    Duration: 12 Jun 201815 Jun 2018
    Conference number: 16
    https://controls.papercept.net/conferences/conferences/ECC18/program/ECC18_ContentListWeb_4.html

    Conference

    Conference2018 European Control Conference
    Abbreviated titleECC 18
    Country/TerritoryCyprus
    CityLimassol
    Period12/06/1815/06/18
    Internet address

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