Blar i Institutt for elektro, IT, og kybernetikk på emneord "563"
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A didactically motivated PLS prediction algorithm
(Journal article; Peer reviewed, 2001)The intention of this paper is to develop an easily understood PLS prediction algorithm, especially for the control community. The algorithm is based on an explicit latent variables model, and is otherwise a combination ... -
Comparing PI Tuning Methods in a Real Benchmark Temperature Control System
(Journal article, 2010)This paper demonstrates a number of PI controller tuning methods being used to tune a temperature controller for a real air heater. Indices expressing setpoint tracking and disturbance compensation and stability margin ... -
Compression into two-component PLS factorizations
(Journal article; Peer reviewed, 2003)Partial least squares regression (PLSR) often requires more than two components also in the case of a scalar response variable. As shown in papers on orthogonal signal correction (OSC), it is possible to reduce the number ... -
Constrained numerical optimization of PCR/PLSR predictors
(Journal article; Peer reviewed, 2003)Assuming a fully known latent variables (LV) model, the optimal multivariate calibration predictor is found from Kalman filtering theory. From this follows the best possible column space for a loading weight matrix Wopt. ... -
Control of a Buoyancy-Based Pilot Underwater Lifting Body
(Journal article, 2010)This paper is about position control of a speci c small-scale pilot underwater lifting body where the lifting force stems from buoyancy adjusted with an air pocket in the lifting body. A mathematical model is developed to ... -
Discrete LQ optimal control with integral action: A simple controller on incremental form for MIMO systems.
(Journal article; Peer reviewed, 2012)A simple Linear Quadratic (LQ) optimal controller of velocity (incremental) form with approximately the same properties as a conventional PID controller of velocity form is presented, i.e. integral action. The proposed ... -
Dynamic system multivariate calibration
(Journal article; Peer reviewed, 1998)In the first part of the paper, the optimal estimator for normally nonmeasured primary outputs from a linear, time invariant and stable dynamic system is developed. The optimal estimator is based on all available information ... -
Dynamic system multivariate calibration based on multirate sampling data
(Journal article; Peer reviewed, 2001) -
Dynamic system multivariate calibration with low-sampling-rate y data
(Journal article; Peer reviewed, 2000)When the data in principal component regression (PCR) or partial least squares regression (PLSR) form time series, it may be possible to improve the prediction/estimation results by utilizing the correlation between ... -
Finding Y-relevant part of X by use of PCR and PLSR model reduction methods
(Journal article; Peer reviewed, 2007)The paper is considering the following question: using principal component regression (PCR) or partial least squares regression (PLSR), how much data can be removed from X while retaining the original ability to predict ... -
Informative PLS score-loading plots for process understanding
(Journal article; Peer reviewed, 2004)Principal component regression (PCR) based on principal component analysis (PCA) and partial least squares regression (PLSR) are well known projection methods for analysis of multivariate data. They result in scores and ... -
Informative score-loading-contribution plots for multi-response process monitoring
(Journal article; Peer reviewed, 2009)The projection based multivariate data methods of principal component regression (PCR) and partial least squares regression (PLSR) are well established in the eld of process monitoring. Use of score and loading plots for ... -
Modified Smith-predictor multirate control utilizing secondary process measurements
(Journal article; Peer reviewed, 2007)The Smith-predictor is a well-known control structure for industrial time delay systems, where the basic idea is to estimate the non-delayed process output by use of a process model, and to use this estimate in an inner ... -
Modified Smith-predictor multirate control utilizing secondary process measurements
(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
(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
(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 ... -
On Tuning PI Controllers for Integrating Plus Time Delay Systems
(Journal article, 2010)Some analytical results concerning PI controller tuning based on integrator plus time delay models are worked out and presented. A method for obtaining PI controller parameters, Kp = k , and, Ti = , which ensures a ... -
PCR/PLSR optimization based on noise covariance estimation and Kalman filtering theory
(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
(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
(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 ...