In this paper, Generalised Predictive Control (GPC) is applied
to a milk pasteurisation process, in order to improve
pasteurisation temperature control. The controller robustness
to plant/model mismatch is investigated, as the process
is simulated by a nonlinear Artificial Neural Network
(ANN) based model, while the embedded internal model
is given by a linear First Principles (FP) model. The GPC
controller is furthermore compared to an optimally tuned
PID controller
