Training an encoder is provided. The method comprises inputting a current state of a number of aircraft into a recurrent layer of a neural network, wherein the current state comprises a reduced state in which a value of a specified parameter is missing. An action applied to the aircraft is input into the recurrent layer concurrently with the current state. The recurrent layer learns a value for the parameter missing from current state, and the output of the recurrent layer is input into a number of fully connected hidden layers. The hidden layers, according to the current state, learned value, and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action.


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    Titel :

    Predictive Modeling of Aircraft Dynamics


    Beteiligte:
    SOLEYMAN SEAN (Autor:in) / CHEN YANG (Autor:in) / HUNG FAN HIN (Autor:in) / KHOSLA DEEPAK (Autor:in) / NADERIALIZADEH NAVID (Autor:in)

    Erscheinungsdatum :

    29.12.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen



    Predictive Modeling of Aircraft Dynamics

    SOLEYMAN SEAN / CHEN YANG / HUNG FAN HIN et al. | Europäisches Patentamt | 2022

    Freier Zugriff

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    NEURAL NETWORK MODEL-BASED PREDICTIVE CONTROL OF AIRCRAFT DYNAMICS

    Nho, K. / Agarwal, R. / AIAA | British Library Conference Proceedings | 2000


    Neural network model-based predictive control of aircraft dynamics

    Nho, Kyungmoon / Agarwal, Ramesh | AIAA | 2000