Industrial applications of model based predictive control
Automatica (Journal of IFAC) - IFAC-IEEE special issue on meeting the challenge of computer science in the industrial applications of control
Nonlinear process control
An efficient model predictive controller with pole placement
Information Sciences: an International Journal
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
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Model predictive control (MPC) has been used successfully in industry. The basic characteristic of these algorithms is the formulation of an optimization problem in order to compute the sequence of control moves thatminimize a performance function on the time horizon with the best information available at each instant, taking into account operation and plantmodel constraints. The classical algorithms Infinite Horizon Model Predictive Control (IHMPC) and Model Predictive Control with Reference System (RSMPC) were used for the experimental application in themultivariable control of the pilot plant (level and pH). The simulations and experimental results indicate the applicability and limitation of the control technique.