@article{MAKHILLJEAS2021161019557,
    title = {Comparison of Neural Network NARMA-L2 Model Reference and Predictive Controllers for
Electromagnetic Space Vehicle Suspension System},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {16},
    number = {10},
    pages = {313-317},
    year = {2021},
    issn = {1816-949x},
    doi = {jeasci.2021.313.317},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2021.313.317},
    author = {Mustefa,Messay and},
    keywords = {Electromagnetic suspension system,NARMA-L2,model reference,predictive controller},
    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.}
    }