Integral based identification for physiological models
Degree GrantorUniversity of Canterbury
Degree NameBachelor of Science with Honours
Recently a model-based protocol has been developed for controlling glucose in the Christchurch ICU which has already had a significant clinical impact. A major part of the development involved an integral-based parameter identification method. This paper addresses the importance of an integral formulation for stability in glucose control. The method is compared to a standard derivative based method which is shown to be unstable. The integral method is shown to be highly robust to both modelling and measurement error.
SubjectsField of Research::01 - Mathematical Sciences::0103 - Numerical and Computational Mathematics
- Engineering: Reports