Neural network modeling of controlled motion for aircraft

Aircraft Engineering


Аuthors

Kondratiev A. .*, Tiumentsev Y. V.**

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: kondrl987@mail.ru
**e-mail: yutium@gmail.com

Abstract

Algorithms used for adaptive fault-tolerant control require often to have available some model for a plant. An approach based on the neural network modeling of dynamical systems is a promising technique to generate the plant model especially in a nonlinear case. One of possible ways is suggested to implement the technique. Computer experiment results are presented to demonstrate efficiency of the proposed approach.

Keywords:

aircraft, model of motion, artificial neural network, computer experiment

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