A computer-implemented method for predicting behavior of aircraft is provided. The method comprises inputting a current state of a number of aircraft into a number of hidden layers of a neural network, wherein the neural network is fully connected. An action applied to the aircraft is input into the hidden layers concurrently with the current state. The hidden layers, according to the current state and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action. A skip connection feeds forward the current state of the aircraft, and the residual output is added to the current state to determine a next state of the aircraft.


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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