Research Article
System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
@ARTICLE{10.4108/eetcs.v7i22.2867, author={Nguyen Cong Danh}, title={System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16}, journal={EAI Endorsed Transactions on Cloud Systems}, volume={7}, number={22}, publisher={EAI}, journal_a={CS}, year={2022}, month={11}, keywords={Linear Quadratic Gaussian (LQG), F-16, Kalman filter}, doi={10.4108/eetcs.v7i22.2867} }- Nguyen Cong Danh
Year: 2022
System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
CS
EAI
DOI: 10.4108/eetcs.v7i22.2867
Abstract
Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.
Copyright © 2022 Nguyen Cong Danh, licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
