Observer-based predictor for a SIR model with delays

Abstract: We propose an observer for a SIR epidemic model. The observer is then uplifted into a predictor to compensate for time delays in the input and the output. Tuning criteria are given for tuning gains of the predictor, while the estimation-error stability is ensured using Lyapunov-Krasovskii functionals. The predictor's performance is evaluated in combination with a time-optimal control. We show that the predictor nearly recovers the performance level of the delay-free system.