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has been cited by the following article:

• TITLE: Identification and low-complexity regime-switching insulin control of type I diabetic patients

  AUTHORS: Ali Hariri, Le Yi Wang

  KEYWORDS: Insulin Control; Diabetes; Switching Control; Modeling; Adaptation

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.4 No.4, April 22, 2011

  ABSTRACT: This paper studies benefits of using simplified re-gime-switching adaptive control strategies in improving performance of insulin control for Type I diabetic patients. Typical dynamic models of glucose levels in diabetic patients are nonlinear. Using a linear time invariant controller based on an operating condition is a common method to simplify control design. On the other hand, adaptive control can potentially improve system performance, but it increases control complexity and may create further stability issues. This paper investigates patient models and presents a simplified switching control scheme using PID controllers. By comparing different switching schemes, it shows that switched PID controllers can improve performance, but frequent switching of controllers is unnecessary. These findings lead to a control strategy that utilizes only a small number of PID controllers in this scheduled adaptation strategy.