TY  - JOUR
AU  - Zermani, Med Aymen 
AU  - Feki, Elyes 
AU  - Mami, Abdelkader 
PY  - 2011
TI  - Application of Adaptive Predictive Control to a Newborn Incubator
JF  - American Journal of Engineering and Applied Sciences
VL  - 4
IS  - 2
DO  - 10.3844/ajeassp.2011.235.243
UR  - https://thescipub.com/abstract/ajeassp.2011.235.243
AB  - 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.