Abstract
A supervisory monitoring scheme is designed for the control of infectious diseases. The design is based on the tested accumulated information entropy of the absolute error of the model versus the observed data. Such a supervisory loss function is minimized at each supervision time-interval occurring in-between each two consecutive switching time instants. The design method allows to set through time the active model, within a prescribed parallel structure of potential models, each with its own coefficient transmission rate. Such an active model generates the vaccination and or treatment controls to be injected to the monitored population.
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