MURAL - Maynooth University Research Archive Library



    Gain-Scheduled & Nonlinear Systems: Dynamic Analysis by Velocity-Based Linearisation Families


    Leith, Douglas J. and Leithead, W.E. (1998) Gain-Scheduled & Nonlinear Systems: Dynamic Analysis by Velocity-Based Linearisation Families. International Journal of Control, 70. pp. 289-317. ISSN 0020-7179

    [thumbnail of 1001967154_link_19973.pdf] PDF
    1001967154_link_19973.pdf

    Download (330kB)

    Abstract

    A family of velocity-based linearisations is proposed for a nonlinear system. In contrast to the conventional series expansion linearisation, a member of the family of velocity-based linearisations is valid in the vicinity of any operating point, not just an equilibrium operating point. The velocity-based linearisations facilitate dynamic analysis far from the equilibrium operating points and enable the transient behaviour of the nonlinear system to be investigated. Using velocity-based linearisations, stability conditions are derived for both smooth and non-smooth nonlinear systems which avoid the restrictions, to trajectories lying within an unnecessarily, perhaps excessively, small neighbourhood about the equilibrium operating points, inherent in existing frozen-input theory. For systems where there is no restriction on the rate of variation, the velocity-based linearisation analysis is global in nature. The analysis techniques developed, whilst quite general, are motivated by the gain-scheduling design approach and have the potential for direct application to the analysis of gain-scheduled systems.
    Item Type: Article
    Keywords: Gain-Scheduled & Nonlinear Systems; Dynamic Analysis; Velocity-Based Linearisation Families;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 1840
    Depositing User: Hamilton Editor
    Date Deposited: 12 Feb 2010 12:25
    Journal or Publication Title: International Journal of Control
    Publisher: Taylor & Francis
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/1840
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads