Abstract

It is essential to control accurately the critical variables in patients whose normal control systems have been faced with trouble. Vital parameters were different for different people; also with respect to similar changes in the parameters, the responses were different. This issue led to changes in the model parameters. It should be noted that even a small change in some of the model parameters can lead to death of patients. Therefore, the purpose of this study was to design a controller which was robust with respect to model parameter changes and disturbances entered to the system; this controller must be able to control their blood sugar levels in a suitable settling time. One of the issues discussed in this paper is type-2 fuzzy method, which is to regulate blood glucose levels. The use of type-2 fuzzy systems allows us to model the effects of uncertainty in the systems which are based on special rules. It also gives us an opportunity to minimize the uncertainty effects, but unfortunately, because of the complexity in use and comprehension of type-2 fuzzy sets than type-1, they were less used. These complexities are due to its three-dimensional nature and the direct dependence of its relations to the development principles; this is how its computational complexity is made. © 2017 National Taiwan University.