process transitions are common in the iron and steel industry. Our investigation shows that more than 50% of catastrophic process failures in continuous steel casting operation are related to abnormal operations durin...
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This paper focuses on feedback control of surface roughness in a deposition process, based on a stochastic partial differential equation (PDE) which describes the fluctuation of surface height in the spatial domain. S...
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Maintaining the glucose concentration in normoglycemic range in Type I diabetic patients is challenging. In this study, the Enhanced Internal Model controller (EIMC) is developed for a diabetic, due to its simple stru...
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Internal model based temperature controllers are developed for effusion sources that are part of a continuous process for production of thin-film photovoltaic modules. Operation of this system in a research framework ...
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In this contribution a hierarchical approach to the control of the molecular weight in a semi-batch emulsion polymerization is derived, which ensures minimum batch time. Rather than performing a numerical optimization...
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control of glass furnaces has known a great expansion in the last decades, particularly with model-based operation optimisation methods. The challenge is to gel models covering the whole operating range and at the sam...
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In this paper an approach for flexible production scheduling for continuous multi-grade chemical processes is proposed. The approach integrates the economics of production and of company-market interaction for single-...
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A question that often processcontrol engineers face is for what class of processes one should use model predictive control that requires solving numerically a constrained optimization problem repeatedly on-line. The ...
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Iterative learning control (ILC) is a technique to realize system inversion in a run-to-run manner. Though most of the techniques presented in the literature consider zero tracking error between the desired and achiev...
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With a view to ensuring the validity of multivariate calibration models in the presence of temperature variations, a new methodology, individual contribution standardization (ICS), is proposed to correct for temperatu...
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