Abstract
A new method for disturbance prediction in model predictive control is presented. The disturbance predictor is based on a linear model representation over all future points from the current operating point, but is easily used in a nonlinear MPC formulation. The disturbance prediction algorithm is applied to a SISO system and a MIMO drug delivery system. Simulation results show the improvement in regulatory performance provided by the disturbance predictor compared to the constant additive disturbance assumption of “classical” model predictive control.
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