The paper deals with the development of identification algorithms for adaptive control systems, with specific features related to the realization of the algorithms. We develop an algebraic approach to the construction of identification algorithms. This involves a more realistic formulation of the task as compared with that adopted in the theory of statistical estimation. In particular, we construct the procedures of analysis and selection of the most informative data, based on the degrees of conditionality proposed in the paper. A qualitative theory of identification is developed.


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    Titel :

    Constructing unified identification algorithms using a small number of observations for adaptive control and navigation systems


    Beteiligte:
    Fursov, V.A. (Autor:in)


    Erscheinungsdatum :

    1997


    Format / Umfang :

    11 Seiten, 14 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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