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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Bibliographic Details

Published in:	AIChE journal Vol. 62; no. 5; pp. 1581 - 1601
Main Authors:	Corbett, Brandon, Mhaskar, Prashant
Format:	Journal Article
Language:	English
Published:	New York Blackwell Publishing Ltd 01.05.2016 American Institute of Chemical Engineers
Subjects:	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
Online Access:	Get full text
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