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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    Titel :

    Predictor-Based Model Reference Adaptive Control


    Beteiligte:

    Kongress:

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



    Erscheinungsdatum :

    01.07.2010


    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch




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