@article {10.3844/ajeassp.2011.235.243,
article_type = {journal},
title = {Application of Adaptive Predictive Control to a Newborn Incubator},
author = {Zermani, Med Aymen and Feki, Elyes and Mami, Abdelkader},
volume = {4},
number = {2},
year = {2011},
month = {Jul},
pages = {235-243},
doi = {10.3844/ajeassp.2011.235.243},
url = {https://thescipub.com/abstract/ajeassp.2011.235.243},
abstract = {Problem statement: This study presents an application of Indirect Adaptive Generalized
Predictive Control (IAGPC) of an incubator for newborn, in order to improve the performance of
temperature control. Approach: Analysis of physical phenomena of incubator was involved together
knowledge of the dynamic behavior. Incubator was identified by means of Recursive Least Square
(RLS) technique associated with a projection of the model parameters for robust system identification.
Results: Results showed that mathematical model of neonatal incubator predicted coincide with the
measured data. A comparative study was made between ON-OFF, PID and IAGPC control in order to
provide the performance of each strategy. Conclusion: Results had proved effectiveness of the IAGPC
as a control of incubator system.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}