Abstract
This entry provides a brief description of model predictive control (MPC) technology and how it is used in practice. The emphasis here is on refining and chemical plant applications where the technology has achieved its greatest acceptance. After a short description of what MPC is and how it fits into the hierarchy of control functions, the basic algorithm is presented as a sequence of three optimization problems. The steps required for a successful application are then outlined, followed by a summary and outline of likely future directions for MPC technology.
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© 2013 Springer-Verlag London
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Badgwell, T., Qin, S. (2013). Model-Predictive Control in Practice. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_8-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_8-1
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Latest
Model Predictive Control in Practice- Published:
- 14 November 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_8-2
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Original
Model-Predictive Control in Practice- Published:
- 05 November 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_8-1