Controllable and observable polynomial description for 2D noncausal systems

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Abstract

Two-dimensional state-space systems arise in applications such as image processing, iterative circuits, seismic data processing, or more generally systems described by partial differential equations. In this paper, a new direct method is presented for the polynomial realization of a class of noncausal 2D transfer functions. It is shown that the resulting realization is both controllable and observable.

Original languageEnglish
Article number87171
JournalJournal of Control Science and Engineering
Volume2007
DOIs
Publication statusPublished - 2007

Fingerprint

2-D Systems
Partial differential equations
Transfer functions
Image processing
Polynomials
Polynomial
Networks (circuits)
Direct Method
Transfer Function
Image Processing
State Space
Partial differential equation
Class

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Modelling and Simulation

Cite this

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title = "Controllable and observable polynomial description for 2D noncausal systems",
abstract = "Two-dimensional state-space systems arise in applications such as image processing, iterative circuits, seismic data processing, or more generally systems described by partial differential equations. In this paper, a new direct method is presented for the polynomial realization of a class of noncausal 2D transfer functions. It is shown that the resulting realization is both controllable and observable.",
author = "Boudellioua, {M. S.}",
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journal = "Journal of Control Science and Engineering",
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