Model reduction of 2-D systems via orthogonal series

Paraskevopoulos, PN; Panagopoulos, PE; Vaitsis, GK; Varoufakis, SJ; Antoniou, GE

dc.contributor.author	Paraskevopoulos, PN	en
dc.contributor.author	Panagopoulos, PE	en
dc.contributor.author	Vaitsis, GK	en
dc.contributor.author	Varoufakis, SJ	en
dc.contributor.author	Antoniou, GE	en
dc.date.accessioned	2014-03-01T01:08:26Z
dc.date.available	2014-03-01T01:08:26Z
dc.date.issued	1991	en
dc.identifier.issn	0923-6082	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10489
dc.subject	block pulse	en
dc.subject	Chebyshev polynomials	en
dc.subject	fraction expansion	en
dc.subject	model reduction	en
dc.subject	orthogonal series	en
dc.subject	Pade	en
dc.subject	shifting transformation matrix	en
dc.subject	Walsh and Chebyshev series	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Computer Programming - Algorithms	en
dc.subject.other	Mathematical Techniques - Algebra	en
dc.subject.other	Systems Analysis	en
dc.subject.other	Model Reduction	en
dc.subject.other	Multidimensional Systems	en
dc.subject.other	Orthogonal Series	en
dc.subject.other	Reduced Order Systems	en
dc.subject.other	Transfer Functions	en
dc.subject.other	Two-Dimensional Systems	en
dc.subject.other	Control Systems	en
dc.title	Model reduction of 2-D systems via orthogonal series	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF01940473	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF01940473	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	In this article, the problem of model reduction of 2-D systems is studied via orthogonal series. The algorithm proposed reduces the problem to an overdetermined linear algebraic system of equations, which may readily be solved to yield the simplified model. When this model approximates adequately the original system, it has many important advantages, e.g., it simplifies the analysis and simulation of the original system, it reduces the computational effort in design procedures, it reduces the hardware complexity of the system, etc. Several examples are included which illustrate the efficiency of the proposed method and gives some comparison with other model reduction techniques. © 1991 Kluwer Academic Publishers.	en
heal.publisher	Kluwer Academic Publishers	en
heal.journalName	Multidimensional Systems and Signal Processing	en
dc.identifier.doi	10.1007/BF01940473	en
dc.identifier.isi	ISI:A1991FE22500006	en
dc.identifier.volume	2	en
dc.identifier.issue	1	en
dc.identifier.spage	69	en
dc.identifier.epage	83	en