Robust input disturbance suppression for nonlinear systems based on multiple model adaptive control

Steven W. Su*, Brian D.O. Anderson, Thomas S. Brinsmead

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    In this paper, we make initial steps in the direction of nonlinear multiple model adaptive control by focusing on a contrived example in which an unknown parameter has a nominal value in one of the two intervals [-0.3, -0.1] and [0.1, 0.3] and can switch between them. The design should suppress a constant input disturbance. We discuss the use of a multi-estimator and multi-controller to achieve the goal, with the construction of the stable multi-estimator being based on stable kernel representation of the plant. Simulation results indicate that satisfactory performance is achieved.

    Original languageEnglish
    Pages (from-to)3047-3048
    Number of pages2
    JournalProceedings of the IEEE Conference on Decision and Control
    Volume3
    Publication statusPublished - 2002
    Event41st IEEE Conference on Decision and Control - Las Vegas, NV, United States
    Duration: 10 Dec 200213 Dec 2002

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