Steady-state modeling and control of molecular weight distributions in a styrene polymerization process based on B-spline neural networks

Jinfang Zhang; Hong Yue

Conference Proceedings

Steady-state modeling and control of molecular weight distributions in a styrene polymerization process based on B-spline neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4491 LNCS(PART 1) 329-338

DOI: 10.1007/978-3-540-72383-7_39

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Abstract

The B-spline neural networks are used to model probability density function (PDF) with least square algorithm, the controllers are designed accordingly. Both the modeling and control methods are tested with molecular weight distribution (MWD) through simulation. © Springer-Verlag Berlin Heidelberg 2007.

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Zhang, J., & Yue, H. (2007). Steady-state modeling and control of molecular weight distributions in a styrene polymerization process based on B-spline neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4491 LNCS, pp. 329–338). Springer Verlag. https://doi.org/10.1007/978-3-540-72383-7_39

Steady-state modeling and control of molecular weight distributions in a styrene polymerization process based on B-spline neural networks

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