Controllable and observable polynomial description for 2D noncausal systems

M. S. Boudellioua

doi:10.1155/2007/87171

Controllable and observable polynomial description for 2D noncausal systems

M. S. Boudellioua^*

^*Corresponding author for this work

Mathematics

Research output: Contribution to journal › Article › peer-review

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 language	English
Article number	87171
Journal	Journal of Control Science and Engineering
Volume	2007
DOIs	https://doi.org/10.1155/2007/87171
Publication status	Published - 2007

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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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.",

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AB - 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.

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Controllable and observable polynomial description for 2D noncausal systems

Abstract

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