This paper is devoted to the design and analysis of a predictor-based model reference adaptive control. Stable adaptive laws are derived using Lyapunov framework. The proposed architecture is compared with the now classical model reference adaptive control. A simulation example is presented in which numerical evidence indicates that the proposed controller yields improved transient characteristics.


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    Title :

    Predictor-Based Model Reference Adaptive Control


    Contributors:

    Conference:

    AIAA Guidance, Navigation, and Control Conference ; 2009 ; Chicago, IL, United States



    Publication date :

    2010-07-01


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




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