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Glucose management is an important clinical task for diabetic patients, and intensive insulin therapy is widely considered a promising way for the glucose management. However, the intensive insulin therapy has one potential risk: hypoglycemia, but there is no antagonist to compensate hypoglycaemia in the intensive insulin therapy. Dual infusion of insulin and glucagon can overcome this shortcoming. In this paper, a switching control algorithm was proposed to design and optimize the insulin and glucagon infusion rates simultaneously, and this algorithm has been implemented in a virtual type 1 diabetic subject. The in silico results demonstrate that the proposed algorithm can reduce hypoglycaemia significantly.