Two-dimensional linear discrete systems: a polynomial fractional approach

dc.creatorGapinski, Andrzej J
dc.date.available2011-02-18T20:34:33Z
dc.date.issued1988-08
dc.degree.departmentElectrical and Computer Engineeringen_US
dc.description.abstractThe purpose of this dissertation is two-fold. First, the class of two-dimensional linear time-invariant discrete system is investigated and a unified approach is proposed for its representation. This approach based on the two-dimensional polynomial fractional representation is further extended to two-dimensional, linear, time-varying discrete systems. This algebraic framework is established with use of the division process in K[z1,z2] which is defined and investigated. Also, a ring of generalized two-dimensional polynomials K{z1-,z2} with the division property is defined. The main structure of the proposed realization and control theory is based on a module of signals over a two-dimensional polynomial ring and a skew polynomial ring. The 2-D Kalman input-output map is defined and realization based on its factorization is considered. Also, various models for 2-D systems are considered for the time-invariant case. Secondly, system-theoretic properties such as reachability and observability are explored. The stability problem is considered. In a sequel the polynomial equation Q X + R Y = ö is explored. The conditions are specified for control of two-dimensional systems.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/14195en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectDiscrete-time systemsen_US
dc.subjectPolynomial ringsen_US
dc.subjectControl theoryen_US
dc.subjectTime-series analysisen_US
dc.titleTwo-dimensional linear discrete systems: a polynomial fractional approach
dc.typeDissertation
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorTexas Tech University
thesis.degree.levelDoctoral
thesis.degree.namePh.D.

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