Subspace Identification Based Modeling and Control of Batch Particulate Processes
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-04140-3_14
Reference12 articles.
1. Immanuel, C.D., Wang, Y., Bianco, N.: Feedback controllability assessment and control of particle size distribution in emulsion polymerisation. Chem. Eng. Sci. 63, 1205–1216 (2008)
2. Alhamad, B., Romagnoli, J.A., Gomes, V.G.: On-line multi-variable predictive control of molar mass and particle size distributions in free-radical emulsion copolymerization. Chem. Eng. Sci. 60, 6596–6606 (2005)
3. Corbett, B., Mhaskar, P.: Subspace identification for data-driven modeling and quality control of batch processes. AIChE J. 62, 1581–1601 (2016)
4. Doyle, F.J., Harrison, C.A., Crowley, T.J.: Hybrid model-based approach to batch-to-batch control of particle size distribution in emulsion polymerization. Comput. Chem. Eng. 27, 1153–1163 (2003)
5. Park, M., Dokucu, M.: Regulation of the emulsion particle size distribution to an optimal trajectory using partial least squares model-based predictive control. Ind. Eng. 7227–7237 (2004)
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