Mustefa  Jibril, Messay  Tadese, Nuriye  Hassen, 
    Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for
Electromagnetic Space Vehicle Suspension System,
    Journal of Engineering and Applied Sciences,
    Volume 16,Issue 10,
    2021,
    Pages 313-317,
    ISSN 1816-949x,
    jeasci.2021.313.317,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2021.313.317)
    Abstract: Electromagnetic Suspension System (EMS) is
mostly used in the field of high-speed vehicle. In this
study, a space exploring vehicle quarter electromagnetic
suspension system is modelled, designed and simulated
using Neural network-based control problem.
NARMA-L2, Model reference and predictive controllers
are designed to improve the body travel of the vehicle
using bump road profile. Comparison between the
proposed controllers is done and a promising simulation
result have been analyzed.
    Keywords: Electromagnetic suspension system;NARMA-L2;model reference;predictive controller