Semi-Physical Modelling of Nonlinear Processes by Means of Local Model Approaches

Töpfer, Susanne; Wolfram, Armin; Isermann, Rolf

doi:10.3182/20020721-6-es-1901.00421

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Cited by 6 publications

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“…A local model, as described in (Nelles, 2001;Töpfer et al, 2002), is a nonlinear model of the following form:…”

Section: Local Modelsmentioning

confidence: 99%

Structure selection with ANOVA: local linear models

Lind

Ljung

2003

IFAC Proceedings Volumes

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The structure identification problem when estimating local linear models can be eased by using Analysis of Variance (ANOVA) as a prior step in the estimation procedure. The information gained from using ANOVA on the input/output data is what regressors that should be used to partition the input space and what regressors are needed only for the linear models in each part. Also the complexity of the partitioning can be restricted due to the extra information. Abstract: The structure identification problem when estimating local linear models can be eased by using Analysis of Variance (ANOVA) as a prior step in the estimation procedure. The information gained from using ANOVA on the input/output data is what regressors that should be used to partition the input space and what regressors are needed only for the linear models in each part. Also the complexity of the partitioning can be restricted due to the extra information. Keywords

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“…A local model, as described in (Nelles, 2001;Töpfer et al, 2002), is a nonlinear model of the following form:…”

Section: Local Modelsmentioning

confidence: 99%