A simulation approach is discussed for maneuverable aircraft longitudinal motion as nonlinear controlled dynamical system under multiple and diverse uncertainties including knowledge imperfection concerning simulated plant and its environment exposure. The suggested approach is based on a merging of theoretical knowledge for the plant with training tools of artificial neural network field.


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    Title :

    AIRCRAFT SHORT-PERIOD LONGITUDINAL MOTION MODELLING: A COMPARISON OF THEORETICAL, EMPIRICAL AND SEMI-EMPIRICAL APPROACHES


    Contributors:


    Publication date :

    2016



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown