Central Diabetes Insipidus is a disorder that is characterized by decreased secretion of a certain hormone in the human body called the antidiuretic hormone (ADH). Patients affected with central diabetes insipidus will have an abnormally high plasma osmolality level manifested by a reduced ability to concentrate urine, excessive thirst and excessive urine production [1].;Currently, Central Diabetes Insipidus is treated by administering synthetic ADH as a nasal spray. In this thesis, a closed-loop automated treatment system has been investigated. For that end, advanced control techniques were studied, from a Smith Predictor to Hinfinity Optimal Control and Robust Control. The effectiveness of the controllers to reject a step disturbance in the plasma osmolality was examined. This Thesis shows the potential use of control theory in the context of Central Diabetes Insipidus.
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