Search for dissertations about: "State-space Analysis"
Showing result 1 - 5 of 84 swedish dissertations containing the words State-space Analysis.
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1. Machine Tool Dynamics - A constrained state-space substructuring approach
Abstract : Metal cutting is today one of the leading forming processes in the manufacturing industry. The metal cutting industry houses several actors providing machine tools and cutting tools with a fierce competition as a consequence. Extensive efforts are made to improve the performance of both machine tools and cutting tools. READ MORE
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2. Two-Dimensional Signal Root Estimation in Blind Multichannel Impact Response Analysis
Abstract : This doctoral dissertation concerns two-dimensional frequency estimation for modal analysis of single-input multiple-output impact responses from circularly cylindrical objects. The application is within detection of internal defects in trunks of spruce. READ MORE
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3. On State-Space Models in System Identification
Abstract : This thesis considers identification of multivariable discrete time linear systems by using time-invariant state-space models of finite dimension. A new model structure is introduced that is fully parametrized, i. e. all matrices are filled with parameters. READ MORE
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4. On Bounds and Asymptotics of Sequential Monte Carlo Methods for Filtering, Smoothing, and Maximum Likelihood Estimation in State Space Models
Abstract : This thesis is based on four papers (A-D) treating filtering, smoothing, and maximum likelihood (ML) estimation in general state space models using stochastic particle filters (also referred to as sequential Monte Carlo (SMC) methods). The aim of Paper A is to study the bias of Monte Carlo integration estimates produced by the so-called bootstrap particle filter. READ MORE
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5. On performance analysis of subspace methods in system identification and sensor array processing
Abstract : This thesis addresses the issue of performance analysis of subspace-based parameter estimation methods in two different applications, namely system identification and sensor array processing. The objective is to study the quality of the estimated models as the amount of data increases, and to suggest improvements and give user guidelines. READ MORE