Professor Emeritus Kauko Leiviskä, University of Oulu
Qin S. J. and Badgwell T. A. 2000. An overview of nonlinear model predictive control applications. In Allgöwer F., Zheng A. (editors): Nonlinear model predictive control. Progress in systems and control theory, Volume 26, Berlin, Germany:369–392.
Holkar, K.S. and Waghmare, L.M. 2010. An Overview of Model Predictive Control. International Journal of Control and Automation 3(4):48–63.
Kufoalor, D. K. M., Imsland, L. and Johansen, T.A. 2015. Efficient Implementation of Step Response Prediction Models for Embedded Model Predictive Control. IFAC-Papers OnLine 48(23):197–204.
Qin S. J. and Badgwell T. A.: A survey of industrial model predictive control technology. Control Engineering Practice 11(2003)7:733–764.
Chidrawar, S. and Patre, B. 2008. Generalized Predictive Control and Neural Generalized Predictive Control. Leonardo Journal of Sciences 13:133–152.
Chu, D., Forbes, M., Backstrom, J., Gheorghe, C. and Chu, S. 2011. Model Predictive Control and Optimization for Papermaking Processes, Advanced Model Predictive Control, In Zheng, T. (ed.) Intech Open, DOI: 10.5772/18535. [Online] Available from: https://www.intechopen.com/books/advanced-model-predictive-control/model-predictive-control-and-optimization-for-papermaking-processes. [Accessed 9th March 2020].
Ohenoja M. 2009. One- and two-dimensional control of paper machine: A literature review. Report A No 38. University of Oulu, Control Engineering Laboratory.
Mathworks. Design MPC Controller for Paper Machine Process. https://se.mathworks.com/help/mpc/ug/paper-machine-process-control.html [Accessed 9th March 2020].
Mäenpää, T. 2006. Robust model predictive control for cross-directional processes. Doctoral Thesis, Helsinki University of Technology.
Ammar, M.E. and Dumont, G.A. 2015. Automatic tuning of paper machines cross-direction controllers via linear matrix inequalities. Journal of Electrical Systems and Information Technology 2(3):283–295.
He, N., Shi, D., Wang, J., Forbes, M., Backstrom, J. and Chen, T. 2015. User Friendly Robust MPC Tuning of Uncertain Paper-Making Processes. IFAC-Papers OnLine 48(8):1021–1026.
Rahman, M., Avelin, A., Kyprianidis, K., Jansson, J. and Dahlquist, E. 2018. Model based control and diagnostics strategies for a continuous pulp digester. Papercon 2018 in Charlotte, USA (15–18 April).
Lindgren, T., Gustafsson, T., Forsgren, H., Johansson, D. and Östensson, J. 2005. Model predictive control of the chip level in a continuous pulp digester, a case study. Pulp & Paper Canada 106(11):T239.
Luppi, P.A., García, M.P and Basualdo, M.S. 2010. Improvements on Model Predictive Control for a Pulp Mill Process. Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium, July 5–7:186–191.
Van Fleet, M., Dion, M. and Beder-Miller, S. 2011. Modern Bleach Plant Advanced Process Control utilizing Inline Sensors and Model Predictive Control, 2011 TAPPI International Pulp Bleaching Conference, Portland Oregon, October 2–5.
Mathur, A., Andersson, N., Smith, D.B., Onofre, R. and Morgan, G. 2018. Bleach plant optimization utilizing novel measurement technologies complemented with advanced process control. O Papel 79(2):65–72.
Kiruthika, B. and Rukkumani, V. 2015. Model Based Temperature Control of Lime Kiln Process. International Journal of Research 2(05):974–978.
Juneja, P.K. and Ray, A.K. 2013. Prediction based Control of Lime Kiln Process ina Paper Mill. Journal of forest products & industries 2(3):58–62.
Allison, B., Halvorson, B. and Pawson, D. 2010. Model predictive control of smelt dissolving tank TTA using Ft-NIR liquor composition analyser. TAPPI/PAPTAC International Chemical Recovery Conference, Williamsburg, Virginia, March 29–April 1.
Costa, A.O.S. and Lima, E.L. 2005. Modelling and control of an industrial multiple-effect evaporator system. Canadian Journal of Chemical Engineering; Journal 81(5):1032–1040.
Harinath, R., Biegler, L.T. and Dumont, G.A. 2011. Advanced Step Nonlinear Model Predictive Control for Two-stage Thermo Mechanical Pulping Processes. IFAC Proceedings Volumes 44(1):3653–3658.
Paavola, M., Ruusunen, M. Sorsa, A. and Leiviskä, K. 2012. Information theoretic approach to improve performance of networked control systems , Proceedings Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA 2012, Helsinki, Finland, October 25–27:253–263.
Majanne, Y. 2005. Model predictive pressure control of steam networks. Control Engineering Practice 13(12):1499–1505.
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