Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

Yue Fu, Tianyou Chai, Hong Wang

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

    Abstract

    In this paper, to further relax the restriction on the higher order nonlinearity in [7], a stable multiple model adaptive control (SMMAC) method is developed. First a new robust adaptive controller is designed, which can guarantee the stability of the closed-loop system. Then to improve the system performance, the SMMAC method is presented by switching between the robust adaptive controller and a conventional neural network (NN) adaptive controller. Theory analysis and simulation results are presented to show the effectiveness of the proposed method. © 2009 AACC.
    Original languageEnglish
    Title of host publicationProceedings of the American Control Conference|Proc Am Control Conf
    Pages5162-5167
    Number of pages5
    DOIs
    Publication statusPublished - 2009
    Event2009 American Control Conference, ACC 2009 - St. Louis, MO
    Duration: 1 Jul 2009 → …

    Conference

    Conference2009 American Control Conference, ACC 2009
    CitySt. Louis, MO
    Period1/07/09 → …

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