Constructing the Singular Roesser State-Space Model Description of 3D Spatio-Temporal Dynamics from the Polynomial System Matrix

Mohamed S. Boudellioua*, Bartlomiej Sulikowski, Krzysztof Galkowski, Eric Rogers

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers systems theoretic properties of linear systems defined in terms of spatial and temporal indeterminates. These include physical applications where one of the indeterminates is of finite duration. In some cases, a singular Roesser state-space model representation of the dynamics has found use in characterizing systems theoretic properties. The representation of the dynamics of many linear systems is obtained in terms of transform variables and a polynomial system matrix representation. This paper develops a direct method for constructing the singular Roesser state-space realization from the system matrix description for 3D systems such that relevant properties are retained. Since this method developed relies on basic linear algebra operations, it may be highly effective from the computational standpoint. In particular, spatially interconnected systems of the form of the ladder circuits are considered as the example. This application confirms the usefulness and effectiveness of the proposed method independently of the system spatial order.

Original languageEnglish
Article number9376915
Pages (from-to)45632-45641
Number of pages10
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021
Externally publishedYes

Keywords

  • nD systems
  • polynomial system matrix
  • Roesser model
  • spatio-temporal dynamics.

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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