| Summary: | Keeping pace with emerging technologies, artificial pancreas is highly recommended to be used as an alternate way to solve blood glucose level problem for Type 1 diabetes patients. It is aimed to develop an embedded nanochip controller in order to regulate the blood glucose level within the safety range. However, due to the lack of effectiveness in algorithm, the blood glucose level in patient's body is still not achieving the optimum level. The function of the algorithm, which is the heart of the device, needs to be analyzed in order to ensure the device can be fully utilized. Therefore, system identification technique is applied with objective to study the interrelation among all parameters and variables in the modified diabetic model. As a consequence, the results derived from the method, give us better comprehension in determining which parameters give higher effects on the glucose and insulin system. Thereupon, the main factors in the system are able to be recognized through system identification technique. In this study, parameter tmax_I gave highest effect percentage with 66.89% at interaction with insulin,I. On the whole, system identification is very useful to see clear picture of interrelation and correlation in glucose and insulin system. © (2014) Trans Tech Publications, Switzerland.
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