Authors & references
Authors:
Professor Emeritus Kauko Leiviskä, University of Oulu
References:
- 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.