An adaptive algorithm of control of the state of dynamic systems is proposed for the case of a priori uncertain values of the plant parameters. In multidimensional parameter space of the plant model there exists a set of points which generate phase trajectories that are indistinguishable in the previous history interval from the observed path and that are most divergent in the prediction. The control program is determined by minimizing the maximum possible value of the losses, whereas its correction time is determined by the magnitude of the divergence of the envelope of the bundle of predicted paths. This algorithm is illustrated by a practical problem of control of the angular position of a flying vehicle.


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    Title :

    Adaptive control of dynamic systems with parameter group prediction of state


    Additional title:

    Adaptivregelung von dynamischen Systemen mit Zustandsparameterschätzung


    Contributors:

    Published in:

    Automation and Remote Control ; 51 , 3, PT.2 ; 363-368


    Publication date :

    1990


    Size :

    6 Seiten, 5 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English