TY - JOUR AU - Danh, Nguyen Cong PY - 2022/11/18 Y2 - 2024/03/29 TI - System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16 JF - EAI Endorsed Transactions on Cloud Systems JA - EAI Endorsed Trans Cloud Sys VL - 7 IS - 22 SE - Research article DO - 10.4108/eetcs.v7i22.2867 UR - https://publications.eai.eu/index.php/cs/article/view/2867 SP - e8 AB - <p>Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of&nbsp; 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.</p> ER -