An approach to the reduction of multivariable systems with various numbers of inputs and outputs

Simple item page
dc.contributor.advisorShieh, L. S.
dc.contributor.committeeMemberSchneider, William P.
dc.contributor.committeeMemberCook, Bill D.
dc.creatorLue, Hung Ching
dc.date.accessioned2022-09-23T19:25:02Z
dc.date.available2022-09-23T19:25:02Z
dc.date.issued1975
dc.description.abstractThe analysis and synthesis of high-order systems are computationally difficult and cumbersome. Accordingly, there is a need for obtaining reduced models for the high-order system so that an analogue or digital simulation of the system is possible. An algebraic method is proposed in the frequency domain to obtain the reduced models of singlevariable systems as well as multivariable systems. The method of matrix-continued fraction and the mixed method, which utilizes both the dominant-eigenvalue concept and matrix-continued fraction approach, are extended to obtain the reduced models. The reduced model is always stable and it retains the dominant performance of the original system. A complete computer-oriented algorithm is established for the simplification.
dc.description.departmentChemical and Biomolecular Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other2727871
dc.identifier.urihttps://hdl.handle.net/10657/12045
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleAn approach to the reduction of multivariable systems with various numbers of inputs and outputs
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentChemical Engineering, Department of
thesis.degree.disciplineChemical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Lue_1975_2727871.pdf
Size:
3.83 MB
Format:
Adobe Portable Document Format
Download

Collections

Legacy Theses and Dissertations (1940-2009)