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Identification of processes with direction-dependent dynamics

โœ Scribed by Tan, A.H.; Godfrey, K.R.

Book ID
114450041
Publisher
The Institution of Electrical Engineers
Year
2001
Tongue
English
Weight
635 KB
Volume
148
Category
Article
ISSN
1350-2379

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## Abstract Identifying the underlying dynamics of chemical process systems from experimental data is complicated, owing to a mixture of influences that cause erratic fluctuations in the time series. These influences can be notoriously difficult to disentangle. The development of process models is