Predictive Modeling of Aircraft Dynamics
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 int...
Saved in:
Main Authors | , , , , |
---|---|
Format | Patent |
Language | English |
Published |
29.12.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | 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. |
---|---|
Bibliography: | Application Number: US202217655468 |