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An Overview of Nonlinear Model Predictive Control Applications
Abstract
This paper provides an overview of nonlinear model predictive control (NMPC) applications in industry, focusing primarily on recent applications reported by NMPC vendors. A brief summary of NMPC theory is presented to highlight issues pertinent to NMPC applications. Five industrial NMPC implementations are then discussed with reference to modeling, control, optimization, and implementation issues. Results from several industrial applications are presented to illustrate the benefits possible with NMPC technology. A discussion of future needs in NMPC theory and practice is provided to conclude the paper. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Cited by
Shen, C., Shi, Y., & Buckham, B. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2779442 · Cited by 624
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Bozzano, G., & Manenti, F. (2016) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2016.06.001 · Cited by 580
Metadata
- Authors
- Qin, S. J., & Badgwell, T. A.
- Venue
- Nonlinear Model Predictive Control
- Publisher
- Birkhäuser Basel
- Published
- 2000
- Pages
- 369-392
- OpenAlex
- W1839440842
- Cited by
- 458
- References
- 0
- FWCI
- 66.57
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Qin, S. J., & Badgwell, T. A. (2000). An Overview of Nonlinear Model Predictive Control Applications. Nonlinear Model Predictive Control. https://doi.org/10.1007/978-3-0348-8407-5_21
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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