[Dual control of artificial ventilation processes of the lungs using a fuzzy regulator in the feedback circuit]

The control function of the AVL unit is described. For this purpose fuzzy controllers and linguistic approximation theory of the control object models were used. Tables of the linguistic rules and membership functions are described with expert systems and decision systems allowing current information to be put into the AVL unit feed-back channel. Simulation results of the fuzzy controller and software driven microprocessor capabilities of the unit were demonstrated. Combination of control theory of the fuzzy controller and the expert systems allows for individual peculiarities of the patient favouring automatic process of collecting and processing of the information stired in the unit.