Sökning: "errors-in-variables models"

Visar resultat 1 - 5 av 7 avhandlingar innehållade orden errors-in-variables models.

1. 1. Identification of dynamic errors-in-variables models

   Författare :Kaushik Mahata; Torsten Söderström; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signal Processing; Signalbehandling;

   Sammanfattning : The problem of identifying dynamic errors-in-variables models is of fundamental interest in many areas like process control, array signal processing, astronomical data reduction. In recent years, this field has received increased attention of the research community. LÄS MER

3. 2. A covariance structure analysis approach to the errors-in-variables estimation problem

   Författare :David Kreiberg; Fan Yang-Wallentin; Håkan Hjalmarsson; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; System identification; errors-in-variables models; structural equation modeling; confirmatory factor analysis; minimum distance estimator; separable nonlinear least squares; Statistics; Statistik;

   Sammanfattning : It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EIV) models, lead to biased and inconsistent parameter estimation. The work presented in this thesis address the EIV estimation problem using covariance structure analysis (CSA). LÄS MER

4. 3. Continuous-Time Models in Kernel Smoothing

   Författare :Martin Sköld; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deconvolution; errors-in-variables; continuous time; dependent data; bandwidth selection; asymptotic variance; Density estimation; kernel smoothing; size bias.; Mathematics; Matematik;

   Sammanfattning : This thesis consists of five papers (Papers A-E) treating problems in non-parametric statistics, especially methods of kernel smoothing applied to density estimation for stochastic processes (Papers A-D) and regression analysis (Paper E). A recurrent theme is to, instead of treating highly positively correlated data as ``asymptotically independent'', take advantage of local dependence structures by using continuous-time models. LÄS MER

5. 4. On some continuous-time modeling and estimation problems for control and communication

   Författare :Yasir Irshad; Magnus Mossberg; Magnus Jansson; Karlstads universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System Identification; Parameter Estimation; Continuous-time Stochastic Systems; Networked Control Systems; Errors-in-variables Systems; Wireless Channel Modeling; Closed-loop Identification; Physics; Fysik;

   Sammanfattning : The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.In the thesis, continuous-time models of systems controlled in a networked environment, errors-in-variables systems, stochastic closed-loop systems, and wireless channels are considered. LÄS MER

7. 5. Indirect System Identification for Unknown Input Problems : With Applications to Ships

   Författare :Jonas Linder; Martin Enqvist; Fredrik Gustafsson; Alexandre Sanfelice Bazanella; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; System identification; Model structure; Unknown inputs; Indirect input measurements; Physical models; Instrumental variable; Closed loop; Graybox model; Identifiability; Ship; Marine vessel; Operational safety; Inertial measurement unit;

   Sammanfattning : System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. LÄS MER