AbstractThe aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation.


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    Title :

    Online guidance updates using neural networks


    Contributors:

    Published in:

    Acta Astronautica ; 66 , 3-4 ; 477-485


    Publication date :

    2009-07-11


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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