Subspace identification for data-driven modeling and quality control of batch processes

In this work, we present a novel, data‐driven, quality modeling, and control approach for batch processes. Specifically, we adapt subspace identification methods for use with batch data to identify a state‐space model from available process measurements and input moves. We demonstrate that the resul...

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Vydané v:	AIChE journal Ročník 62; číslo 5; s. 1581 - 1601
Hlavní autori:	Corbett, Brandon, Mhaskar, Prashant
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Blackwell Publishing Ltd 01.05.2016 American Institute of Chemical Engineers
Predmet:	Batch processes Chemical engineering Computer simulation control Mathematical models Modelling Polymerization Polymethyl methacrylates process control Quality Quality control Subspaces Terminals
ISSN:	0001-1541, 1547-5905
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