Towards a behavioral approach to linear approximate modeling

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dc.contributor.advisorAntoulas, Athanasios C.en_US
dc.creatorGatt, George Johnen_US
dc.date.accessioned2009-06-04T00:40:42Zen_US
dc.date.available2009-06-04T00:40:42Zen_US
dc.date.issued1993en_US
dc.description.abstractIn this thesis, the foundations for the development of a behavioral approach to linear approximate modeling, are established. A particular data set, consisting of stable, discrete-time, purely exponential time series and a specific class of dynamical models are considered. A misfit function, between the data measurements and a system, belonging to this model class, is defined and the problem of characterizing all members of our model class, for which the value of the misfit function remains below a prespecified error level, is addressed. The concept of the block Hankel matrix, constructed from the data measurements, is then introduced, and it is shown that the optimal Hankel-norm approximation theory provides the main tool for a partial solution of the above problem.en_US
dc.format.extent114 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoThesis E.E. 1993 Gatten_US
dc.identifier.citationGatt, George John. "Towards a behavioral approach to linear approximate modeling." (1993) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/13728">https://hdl.handle.net/1911/13728</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/13728en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.subjectSystem scienceen_US
dc.subjectApplied mechanicsen_US
dc.titleTowards a behavioral approach to linear approximate modelingen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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