Generalized model for linear systems reduction

dc.contributor.advisorShieh, L. S.
dc.contributor.committeeMemberChen, Chih-Fan
dc.contributor.committeeMemberSinkhorn, Richard D.
dc.creatorGoldman, Moises Julian
dc.description.abstractA control system, in general, could consist of hundreds of elements. Therefore considering the vastness of control systems, control engineers have to face three different problems such as: (1) the variables are too many to handle; (2) the dimension of the system is too high to comprehend; and (3) the modifications required of the goals for the design are difficult to ascertain. The normal procedure is to seek methods which reduce the order of a transfer function or decrease the dimension of a state equation. This thesis attempts to develop a new model for the reduction and approximation of high order linear systems, taking into account not only the performance of the system in the low frequency region (steady state response), but also the performance of the system in the high frequency region (transient response). A Continued Fraction Expansion which is a combination of the First and Second Cauer Forms is used for the reduction of the rational and transcendental transfer functions.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginreformatted digital
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.titleGeneralized model for linear systems reduction
dc.type.genreThesis College of Engineering Engineering, Department of Engineering of Houston of Science


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