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In the continuous casting process, the steel level in the mold is controlled using a stopper rod as the flow control actuator and a level sensor. Various control strategies are used in order to reduce the mold level fluctuations which strongly affect the surface quality of the final product. Indeed, under certain casting conditions, the plant is often disturbed by periodic phenomena, in particular...
The paper deals with robust predictive control based on a LMI approach. With respect to the well established case of linear models, with a global polytopic uncertainty, in the present approach the conservativeness reduction is assured by allowing different local descriptions of the uncertainty. The prediction model can thus be interpreted as a multi-model description of the plant to be controlled...
The paper uses an explicit nonlinear control law constructed upon an approximating solution of a constrained finite-time optimal control (CFTOC) problem. The methodology is based on the piecewise affine approximation of a nonlinear models and the exact explicit solution of a multiparametric optimisation problem associated with a model predictive control (MPC) scheme. The technique is applied to a...
This paper presents a nonlinear predictive control strategy for maximizing the biomass growth in fed-batch cultures of E. Coli. This objective is achieved by regulating the acetate concentration at a low measurable value, while tracking (in a compromising way) an optimal glucose feed-rate trajectory determined off-line. Robustness with respect to model uncertainties is improved by taking system/model...
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