Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/3355
Title: Parameter estimation for linear dynamical systems with applications to experimental modal analysis
Authors: Özen, Serdar
Tanyer, İlker
Issue Date: 2008
Publisher: Izmir Institute of Technology
Abstract: In this study the fundamentals of structural dynamics and system identification have been studied. Then some fundamental parameter estimation algorithms in the literature are provided. These algorithms will be applied to an experimental and an artificial system to extract their structural properties. Consequently, the main objective of this study is constructing the mathematical model of a structure by using only the measurement data.To process measurement data, three fundamental modal analysis algorithms are examined. Least-Squares Complex Exponential(LSCE), Eigensystem Realization Algorithm( ERA) and Polyreference Frequency Domain(PFD) algorithms are implemented in MATLAB environment. We applied these algorithms to artificial and experimental data, then we compared the performance of these algorithms. State estimation for linear dynamical systems have also been studied, and details of the Kalman filter as a state estimator are provided. Kalman filter as a state estimator has been integrated with the ERA algorithm and the performance of the Kalman-ERA is provided.
Description: Thesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2008
Includes bibliographical references (leaves: 74-75)
Text in English; Abstract: Turkish and English
x, 91 leaves
URI: http://hdl.handle.net/11147/3355
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection

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