To enhance production quality and environmental protection in industrial valves at a paper mill, employing Model Predictive Control (MPC) with output feedback is crucial. The use of MPC with output feedback allows for constrained linear systems to be controlled effectively, even in the presence of disturbances and uncertainties [1, 2]. By incorporating an adaptive observer and robust MPC techniques, the controller can provide state estimates and system parameter updates, ensuring stability, constraint satisfaction, and recursive feasibility [3, 4]. Furthermore, the MPC framework for constrained nonlinear output regulation, without the need for offline design procedures, offers a solution that minimizes output error and ensures exponential stability, making it suitable for industrial applications like valve control in paper mills [5]. In this paper, a state feedback Model Predictive Controller is designed to control industrial valves in paper mills. The objective of the controller is to improve product quality and environmental protection. The controller utilizes a dynamic model of the valve and the papermaking process to predict the future behavior of the system. Based on this prediction, the controller calculates an optimal sequence of control commands to achieve the desired objectives.