Coprime Factor Model Reduction of Multidimensional Systems

Authors

  • Fatimah Al-Taie Department of Mathematics, College of Sciences, Al-Nahrain University, Jadriya, Baghdad, Iraq https://orcid.org/0000-0002-2164-4820
  • Ibtisam Kamil Hanan 1Department of Mathematics, College of Sciences, Al-Nahrain University, Jadriya, Baghdad, Iraq https://orcid.org/0000-0002-1910-1296
  • Fadhel S. Fadhel Department of Mathematics, College of Sciences, Al-Nahrain University, Jadriya, Baghdad, Iraq
  • Hossam S. Abbas Institute for Electrical Engineering in Medicine, University of Lübeck, 23558, Lübeck, Germany https://orcid.org/0000-0002-5264-5906

DOI:

https://doi.org/10.24996/ijs.2024.65.4.35

Keywords:

Multidimensional systems, Linear parameter-varying systems, Model reduction, Coprime factor, Stabilizable systems

Abstract

    In this work, the right coprime factor for balancing and truncating unstable systems is extended to parameter-varying multidimensional systems employing recent works on coprime factor model reduction of one-dimensional uncertain systems. Since the balanced truncation method cannot be applied directly to unstable systems, state feedback gains should be computed and incorporated in order to stabilize the given system and to be able to apply the balanced truncation technique via defining the so-called stable coprime factor, as coprime factorization overcomes the stability condition required for model reduction. Parameter-dependent state feedback and parameter-dependent Gramians are considered in this work yielding less conservative techniques. In addition, the Gramians are defined as block diagonal matrices, which are partitioned according to the structure of the multidimensional systems. The application to a simulation example demonstrates the applicability and validity of the proposed reduction approach leading to small error bounds between the full and the reduced models.

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Section

Mathematics

How to Cite

Coprime Factor Model Reduction of Multidimensional Systems. (n.d.). Iraqi Journal of Science, 65(4). https://doi.org/10.24996/ijs.2024.65.4.35