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- W2612069568 abstract "Canonical variates state space (CVSS) modeling is a popular subspace linear model identification technique. A nonlinear extension of CVSS modeling approach was proposed (DeCicco and Cinar, 2000) . The modeling procedure consists of two steps: development of a multivariable nonlinear model for a set of latent variables and the linking of the latent variables to outputs of the process. The nonlinear model is structured like a Generalized Additive Model (GAM) and is estimated with CANALS, a nonlinear canonical variate analysis algorithm. This communication presents the methodology and an illustrative example of chemical reactor modeling using data generated from a detailed polymerization reactor model." @default.
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- W2612069568 date "2004-01-01" @default.
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- W2612069568 title "Nonlinear Subspace Model Identification" @default.
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- W2612069568 doi "https://doi.org/10.1016/s1474-6670(17)38784-0" @default.
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