Bindlish, Rahul (2015) Nonlinear model predictive control of an industrial polymerization process. Computers & Chemical Engineering, 73. 43-48 doi:10.1016/j.compchemeng.2014.11.001

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Reference Type	Journal (article/letter/editorial)
Title	Nonlinear model predictive control of an industrial polymerization process
Journal	Computers & Chemical Engineering
Authors	Bindlish, Rahul		Author
Year	2015 (February)	Volume	73
Publisher	Elsevier BV
DOI	doi:10.1016/j.compchemeng.2014.11.001Search in ResearchGate
	Generate Citation Formats
Mindat Ref. ID	6609786	Long-form Identifier	mindat:1:5:6609786:6
GUID	0
Full Reference	Bindlish, Rahul (2015) Nonlinear model predictive control of an industrial polymerization process. Computers & Chemical Engineering, 73. 43-48 doi:10.1016/j.compchemeng.2014.11.001
Plain Text	Bindlish, Rahul (2015) Nonlinear model predictive control of an industrial polymerization process. Computers & Chemical Engineering, 73. 43-48 doi:10.1016/j.compchemeng.2014.11.001
In	(n.d.) Computers & Chemical Engineering Vol. 73. Elsevier BV

	Bindlish, Rahul (2020) Nonlinear model predictive control of an industrial process with steady-state gain inversion. Computers & Chemical Engineering, 135. 106739pp. doi:10.1016/j.compchemeng.2020.106739
	*Bindlish, Rahul (2018) Scheduling, optimization and control of power for industrial cogeneration plants. Computers & Chemical Engineering, 114. 221-224 doi:10.1016/j.compchemeng.2017.10.014*
	Lopez-Negrete, Rodrigo, D’Amato, Fernando J., Biegler, Lorenz T., Kumar, Aditya (2013) Fast nonlinear model predictive control: Formulation and industrial process applications. Computers & Chemical Engineering, 51. 55-64 doi:10.1016/j.compchemeng.2012.06.011
	*Bindlish, Rahul (2016) Power scheduling and real-time optimization of industrial cogeneration plants. Computers & Chemical Engineering, 87. 257-266 doi:10.1016/j.compchemeng.2015.12.023*
	Bindlish, Rahul, Baldea, Michael, Victor Zavala, Hitachi Energy (2024) Trends and perspectives in computed-aided process operations and control. Computers & Chemical Engineering, 182. 108575 doi:10.1016/j.compchemeng.2023.108575
	*Manenti, Flavio (2011) Considerations on nonlinear model predictive control techniques. Computers & Chemical Engineering, 35. 2491-2509 doi:10.1016/j.compchemeng.2011.04.009*
	Gonzaga, J.C.B., Meleiro, L.A.C, Kiang, C., Maciel Filho, R. (2009) ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process. Computers & Chemical Engineering, 33. 43-49 doi:10.1016/j.compchemeng.2008.05.019
	Nogueira, Idelfonso B.R., Fontes, Raony M., Ribeiro, Ana M., Pontes, Karen V., Embiruçu, Marcelo, Martins, Márcio A.F. (2020) A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process. Computers & Chemical Engineering, 133. 106664pp. doi:10.1016/j.compchemeng.2019.106664
	Khodaverdian, Arthur; Gohil, Dhruv; Christofides, Panagiotis D. (2026) Uniting neural network-based control and model predictive control: Application to a large-scale nonlinear process. Computers & Chemical Engineering, 204. doi:10.1016/j.compchemeng.2025.109396
	Scheffold, Lukas, Finkler, Tiago, Piechottka, Uwe (2021) Gray-Box system modeling using symbolic regression and nonlinear model predictive control of a semibatch polymerization. Computers & Chemical Engineering, 146. 107204pp. doi:10.1016/j.compchemeng.2020.107204
	*Bindlish, Rahul, Rawlings, James B. (2003) Target linearization and model predictive control of polymerization processes. AIChE Journal, 49 (11). 2885-2899 doi:10.1002/aic.690491119*

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Bindlish, Rahul (2015) Nonlinear model predictive control of an industrial polymerization process. Computers & Chemical Engineering, 73. 43-48 doi:10.1016/j.compchemeng.2014.11.001

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