Parameter optimized controller design based on frequency domain identification

Simple item page
buir.advisorMorgül, Ömer
dc.contributor.authorKöroğlu, Hakan
dc.date.accessioned2016-01-08T20:18:54Z
dc.date.available2016-01-08T20:18:54Z
dc.date.issued1995
dc.descriptionAnkara : Department of Electrical and Electronics Engineering and Institute of Engineering and Sciences, Bilkent Univ., 1995.en_US
dc.descriptionThesis(Master's) -- Bilkent University, 1995.en_US
dc.descriptionIncludes bibliographical references leaves 51-54.en_US
dc.description.abstractRecently, there has been a great tendency towards the development of iterative design methodologies combining identification with control in a mutually supportive fashion. In this thesis, we develop such an algorithm utilizing nonparametric frequency domain identification methods in order to realize the online iterative design of parameter optimized controllers for a system of unknown dynamics. The control design is based on the minimization of LQG (Linear Quadratic Gaussian) cost criterion with a two-degree of freedom control system. This is achieved by the approximation of an optimality relation, which is derived for a particular parametrization of one of the controllers, using the frequency domain transfer function estimates and application of this together with a numerical optimization algorithm. It is shown that, if the first controller is a FIR filter of length greater than or equal to two times the number of frequencies present in the reference input, the designed control system is optimal independent of the stabilizing second controller.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T20:18:54Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityKöroğlu, Hakanen_US
dc.format.extentviii, 54 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/18392
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSystem identificationen_US
dc.subjectLQG (Linear Quadratic Gaussian) costen_US
dc.subjectparameter optimized controllersen_US
dc.subjectadaptive controlen_US
dc.subject.lccTJ217 .K67 1995en_US
dc.subject.lcshAdaptive control systems.en_US
dc.subject.lcshSystem identification.en_US
dc.subject.lcshControl theory.en_US
dc.titleParameter optimized controller design based on frequency domain identificationen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
B031769.pdf
Size:
1.91 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Graduate School of Engineering and Science