Application of Gauss-Seidel method and singular value decomposition techniques to recursive least squares algorithm

buir.advisorMorgül, Ömer
dc.contributor.authorMalaş, Atilla
dc.date.accessioned2016-01-08T20:09:43Z
dc.date.available2016-01-08T20:09:43Z
dc.date.issued1991
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 1991.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1991.en_US
dc.descriptionIncludes bibliographical references leaves 42-43en_US
dc.description.abstractSystem identification algorithms are utilized in many practical and theoretical applications such as parameter estimation of sj'stems, adaptive control and signal processing . Least squares algorithm is one of the most popular algorithms in system identification, but it has some drawbacks such as large time consumption and small convergence rates. In this thesis, Gauss-Seidel method is implemented on recursive least squares algorithm and convergence behaviors of the resultant algorithms are analyzed. .Also in standard recursive least squares algorithm the excitation of modes are monitored using data matrices and this algorithm is accordingly altered. A parallel scheme is proposed in this analysis for efficient computation of the modes. The simulation results are also presented.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityMalaş, Atillaen_US
dc.format.extentix, 43 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/17372
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSystem identificationen_US
dc.subjectRecursive least squaresen_US
dc.subjectGauss-Seidel iterative methoden_US
dc.subjectSingular value decompositionen_US
dc.subject.lccQA402 .M35 1991en_US
dc.subject.lcshSystem identification.en_US
dc.subject.lcshSystem analysis.en_US
dc.subject.lcshControl theory.en_US
dc.titleApplication of Gauss-Seidel method and singular value decomposition techniques to recursive least squares algorithmen_US
dc.typeThesisen_US
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