System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
DOI:
https://doi.org/10.4108/eetcs.v7i22.2867Keywords:
Linear Quadratic Gaussian (LQG), F-16, Kalman filterAbstract
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.
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