This paper considers the identification problem of a system operating in closed-loop with an existing feedback controller. The closed-loop system is excited by a known excitation signal, and the resulting time histories of the closed-loop system response and the feedback signal are measured. From the time history data, the algorithm computes the Markov parameters of a closed-loop observer, from which the Markov parameters of the individual open-loop plant, observer, and controller are recovered. A state space model of the open-loop plant and the gain matrices for the controller and the observer are then realized. The results of the paper are demonstrated by an example using actual aircraft flutter test data.


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    Title :

    Identification of system, observer, and controller from closed-loop experimental data


    Contributors:
    Juang, Jer-Nan (author) / Phan, Minh (author)

    Conference:

    AIAA Guidance, Navigation and Control Conference ; 1992 ; Hilton Head Island, SC, United States


    Publication date :

    1992-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English


    Keywords :





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