Phenomenology of mixed states: a principal component analysis study
β Scribed by G Bertschy; N Gervasoni; S Favre; C Liberek; E Ragama-Pardos; J-M Aubry; M Gex-Fabry; A Dayer
- Book ID
- 110906357
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 123 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1398-5647
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A predictive state-space dynamic plant is identified using a two-stage approach based on principal components analysis. Ε½ . The procedure is applied to a simulated benchmark problem known as the overheads condensor reflux drum OCRD model, a non-linear multivariable plant with mixed dynamics. The id
Two of the most popular descriptive multivariate methods currently employed are the principal component analysis and canonical variate analysis methods. Canonical variate analysis is the most appropriate technique to use whenever the multivariate data are grouped and to discriminate group dierences