Blar i USN Open Archive på forfatter "Ergon, Rolf"
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Modified Smith-predictor multirate control utilizing secondary process measurements
Ergon, Rolf (Conference report, 2001)The Smith-predictor is a well-known control structure for industrial time delay systems, where the basic idea is to estimate the nondelayed process output by use of a process model, and to use this estimate in an inner ... -
Noise handling capabilities of multivariate methods
Ergon, Rolf (Journal article; Peer reviewed, 2002)The noise handling capabilities of principal component regression (PCR) and partial least squares regression (PLSR) are somewhat disputed issues, especially regarding regressor noise. In an attempt to indicate an answer ... -
On primary output estimation by use of secondary measurements as inputsignals in system identification
Ergon, Rolf (Journal article; Peer reviewed, 1999)In many cases, vital output variables in, e.g., industrial processes cannot be measured online. It is then of interest to estimate these primary variables from manipulated and measured inputs and the secondary output ... -
PCR/PLSR optimization based on noise covariance estimation and Kalman filtering theory
Ergon, Rolf; Esbensen, Kim H. (Journal article; Peer reviewed, 2002)The theoretical connection between principal component regression (PCR) and partial least squares regression (PLSR) on one hand and Kalman filtering (KF) on the other is known from earlier work. In the present paper we ... -
PLS post-processing by similarity transformation: a simple alternative to OPLS
Ergon, Rolf (Journal article; Peer reviewed, 2005)Several methods for orthogonal signal correction (OSC) based on pre-processing of the modeling data have been developed in recent years, and OPLS (orthogonal projections to latent structures) is a well known algorithm. ... -
PLS score-loading correspondence and a bi-orthogonal factorization
Ergon, Rolf (Journal article; Peer reviewed, 2002)It is established industrial practice to use the correspondence between partial least squares (PLS) scores and loadings or loading weights as a means for process monitoring and control. Deviations from the normal operating ... -
Quantitative genetics state-space modeling of phenotypic plasticity and evolution
Ergon, Rolf (Peer reviewed; Journal article, 2019)Living organisms adapt to changes in environment by phenotypic plasticity and evolution by natural selection (or they migrate). At detailed genetic levels these phenomena are complicated, and quantitative genetics attempts ... -
Re-interpretation of NIPALS results solves PLSR inconsistency problem
Ergon, Rolf (Journal article; Peer reviewed, 2009)The well-known nonlinear iterative partial least squares (NIPALS) algorithm is commonly used for computation of components in partial least squares regression (PLSR) with orthogonalized score vectors. Based on generalized ... -
Reduced PCR/PLSR models by subspace projections
Ergon, Rolf (Journal article; Peer reviewed, 2006)Latent variables models used in principal component regression (PCR) or partial least squares regression (PLSR) often use a high number of components, and this makes interpretation of score and loading plots difficult. ... -
The environmental zero‐point problem in evolutionary reaction norm modeling
Ergon, Rolf (Journal article; Peer reviewed, 2018)There is a potential problem in present quantitative genetics evolutionary modeling based on reaction norms. Such models are state‐space models, where the multivariate breeder's equation in some form is used as the state ... -
When three traits make a line: evolution of phenotypic plasticity and genetic assimilation through linear reaction norms in stochastic environments
Ergon, Torbjørn; Ergon, Rolf (Journal article; Peer reviewed, 2016)Genetic assimilation emerges from selection on phenotypic plasticity. Yet, commonly used quantitative genetics models of linear reaction norms con- sidering intercept and slope as traits do not mimic the full process of ...