This paper proposes a practical sampled-data I?P controller design for integrating processes. The controller struc-ture, derived from model predictive control theory, is a simple I?P controller. Application to predictive functional con-trol (PFC) is also derived. The proposed controller was obtained by converting the integrating process model to a one-step-ahead model predictive controller. In this controller, the proportional term suppresses changes in the controlled variable, and the integral term determines speed to eliminate offset. This controller is suitable mainly for sampled-data control systems with a long sampling period, because it can avoid setting excessively high proportional gain. Simulation on a typical integrating process demonstrated the effectiveness of the proposed controller. Finally, the proposed sam-pled-data I?P controller was successfully applied to an actual plant having an extremely slow process response.