Explicit model predictive control design for artificial respiratory ventilation system

Artificial breathing support device is a medical emergency equipment. Such devices are directly associated with the body of a patient. Therefore, the control mechanism of such devices is a challenging task in terms of the comfort and safety of the patient during ventilation. In a pressure control ventilator (PCV), the air pressure developed by the ventilator must be synchronised with the desired air pressure of the patient under artificial ventilation. For the purpose of enhancing the pressure profile of the PCV system, an explicit model predictive control logic is designed. As EMPC avoids the iterative process, the computational burden can be minimised as compared to other traditional iterative control schemes. The performance of the proposed method is examined under different scenarios and compared with existing results.