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An algorithmic method for the selection of multivariable process control structures

โœ Scribed by Ioannis K. Kookos; John D. Perkins


Book ID
108476779
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
247 KB
Volume
12
Category
Article
ISSN
0959-1524

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โœ Ge, Zhiqiang; Song, Zhihuan ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer London ๐ŸŒ English โš– 473 KB

Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitorin