Time domain and time series models for human activity in compensatory tracking experiments

Balakrishna, S (1976) Time domain and time series models for human activity in compensatory tracking experiments. Technical Report. National Aeronautical Laboratory, Bangalore, India.

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    Abstract

    This investigation is aimed at time domain modeling of human activity from compensatory tracking experiments invoking modern identification methodology. Various linear time invariant models in probabilistic situations are postulated to describe the pilot activity, and the associated problems of identification and estimation of these parametric models given the observations are detailed. Two classes of models viz., an input-output based with a remanant terra similar to quasi-linear describing function models, and a new innovative, inaccessible input models based on concepts of time series analysis without remanant are considered. The13; latter models, postulated by the author, are the Autoregressive and Autoregressive moving average models. These formulations are justified on the basis, that in the pilot activity, the input to the human cerebellum is truly inaccessible since sensory channels are not hard connected to the stimulus and hence corrupted.

    Item Type: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: Human activity;Time domain modeling;Human pilot;Automatic control
    Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
    Division/Department: Systems Engineering Division
    Depositing User: Mr. Ravikumar R
    Date Deposited: 13 Mar 2007
    Last Modified: 24 May 2010 09:54
    URI: http://nal-ir.nal.res.in/id/eprint/3898

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