This paper focuses on the application of the Linear Quadratic Regulator (LQR) in industrial process systems where one has zone control of the outputs and input economic targets as well as constraints on the inputs and input moves. In the approach proposed here, the LQR is combined with the Model Predictive Control (MPC) in a framework where the system outputs are controlled through the LQR state feedback control law and the output set points are manipulated by the MPC to enforce the input constraints and input targets. The performance of the proposed controller is tested through the simulation of the control of an industrial deisobutanizer column. (C) 2015 Elsevier Ltd. All rights reserved.