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Abstract
A wide range of processes in chemical industry are characterized by the existence of nonlinear, multivariable interacting, time delay, and constraints properties. The evaporation process in urea industry is considered one of these processes and represents a challenge for the traditional control strategy. Model predictive control (MPC) is the most efficient advanced process control (APC) and has been extensively used in industry. In this thesis, MPC technique was applied to the evaporation process model for improving the process control performance