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We propose an observer for a susceptible‐infectious‐recovered 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 first evaluated in combination with a time‐optimal control. It is shown that the predictor nearly recovers the performance level of the delay‐free system. Finally, the predictor is evaluated using real data from a covid epidemic.

Observer‐based predictor for a susceptible‐infectious‐recovered model with delays: An optimal‐control case study