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.


    Access

    Download


    Export, share and cite



    Title :

    Predictive Modeling of Aircraft Dynamics


    Contributors:

    Publication date :

    2022-12-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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. | European Patent Office | 2022

    Free access

    Predictive Modeling of Aircraft Dynamics Using Neural Networks

    Tullock, Charles / Khosla, Deepak / Hung, Fan et al. | SAE Technical Papers | 2022


    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