Stiction is a nonlinear valve malfunction that is an enduring problem in process industry as it has a strong impact on the performance of control loops. To date, a number of mathematical models to describe such persistent phenomenon has been proposed. Among those, the Choudury and Kano models are popular because of their implementation simplicity. In the present work, a comparative study of the performance of these data-driven models is performed. The behavior of a closed loop system incorporating a sticky valve is analysed in two different contexts yet those representative of the industrial practice: a flow and a level control loop cases. The study analyses similarities and differences of the models, emphasizing their advantages and drawbacks.

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