The research addressed in this paper is focused on the estimation and
control of a nonlinear industrial polymerization process. The majority
of the available estimation techniques are not easy to implement onli
ne due to the intensive computations involved. Therefore, there is a n
eed for an estimation technique that is simple, yet capable of handlin
g multi-rate sampled data with variable measurement dead times. For th
e polymerization system under study, one such estimator is presented.
Estimation is implemented within a nonlinear model predictive control
algorithm (NLMPC). The combined estimator-controller is shown to displ
ay good set-point tracking and disturbance rejection properties via si
mulations involving some practical control problems.