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Data-driven model predictive control of a seeded...
Conference

Data-driven model predictive control of a seeded batch crystallization process

Abstract

Particulates production has undergone phenomenal growth in the past few decades. They are used for manufacturing of numerous high-value industrial products such crystals, polymers etc. The products are often manufactured using batch processes to provide the flexibility of achieving different products by changing recipes. Â The physio-chemical and mechanical properties of the end product are known to be linked to the particle size distribution …

Authors

Garg A; Mhaskar P

Pagination

pp. 606-608

Publication Date

January 1, 2016

Conference proceedings

Computing and Systems Technology Division 2016 Core Programming Area at the 2016 Aiche Annual Meeting