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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the Physical Activity for Health Group based within the School of Psychological Sciences & Health. Research here seeks to better understand how and why physical activity improves health, gain a better understanding of the amount, intensity, and type of physical activity needed for health benefits, and evaluate the effect of interventions to promote physical activity.

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Application of efficient nonlinear predictive control to a hot strip finishing mill

Bulut, B. and Ordys, A.W. and Grimble, M.J. (2002) Application of efficient nonlinear predictive control to a hot strip finishing mill. In: 2002 International Conference on Control Applications, 2002-09-18 - 2002-09-20.

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Abstract

The application of the efficient nonlinear predictive control algorithms, emerging from recent research, to hot strip finishing mills is discussed. The method of controlling profile is based on explicit manipulation of the strip thickness across its width. An efficient model-based predictive control algorithm is employed to generate the control signal for the stands and to coordinate the stands for optimal profile and shape control. Simulation results are presented to demonstrate the performance of the proposed coordinated control scheme.