Research Article Open Access

Application of Adaptive Predictive Control to a Newborn Incubator

Med Aymen Zermani1, Elyes Feki1 and Abdelkader Mami1
  • 1 National School of Engineering of Tunis, Tunisia


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.

American Journal of Engineering and Applied Sciences
Volume 4 No. 2, 2011, 235-243


Submitted On: 18 November 2010 Published On: 13 July 2011

How to Cite: Zermani, M. A., Feki, E. & Mami, A. (2011). Application of Adaptive Predictive Control to a Newborn Incubator. American Journal of Engineering and Applied Sciences, 4(2), 235-243.

  • 7 Citations



  • Neonatal incubator
  • temperature
  • identification
  • control
  • Recursive Least Square (RLS)
  • Generalized Predictive Control (IAGPC)
  • transpidermal respiratory
  • physical phenomena
  • heating resistance
  • Generalized Predictive Controller (GPC)