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dc.contributor.advisorÖzen, Serdaren
dc.contributor.authorTanyer, İlkeren
dc.date.accessioned2014-07-22T13:51:22Z
dc.date.available2014-07-22T13:51:22Z
dc.date.issued2008en
dc.identifier.urihttp://hdl.handle.net/11147/3355
dc.descriptionThesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2008en
dc.descriptionIncludes bibliographical references (leaves: 74-75)en
dc.descriptionText in English; Abstract: Turkish and Englishen
dc.descriptionx, 91 leavesen
dc.description.abstractIn 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.en
dc.language.isoengen
dc.publisherIzmir Institute of Technologyen
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lccTA654. T169 2008en
dc.subject.lcshStructural dynamics--Mathematical modelsen
dc.subject.lcshParameter estimationen
dc.titleParameter estimation for linear dynamical systems with applications to experimental modal analysisen
dc.typemasterThesisen
dc.contributor.authorIDTR131388
dc.contributor.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen
dc.relation.publicationcategoryTezen_US


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