A bilinear H2 model order reduction approach to linear parameter-varying systems

Peter Benner, X. Cao (Corresponding author), W.H.A. Schilders

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
30 Downloads (Pure)

Abstract

This paper focuses on the model reduction problem for a special class of linear parameter-varying systems. This kind of systems can be reformulated as bilinear dynamical systems. Based on the bilinear system theory, we give a definition of the H2 norm in the generalized frequency domain. Then a model reduction method is proposed based on the gradient descent on the Grassmann manifold. The merit of the method is that by utilizing the gradient flow analysis, the algorithm is guaranteed to converge, and further speedup of the convergence rate can be achieved as well. Two numerical examples are tested to demonstrate the proposed method.
Original languageEnglish
Pages (from-to)2241–2271
Number of pages31
JournalAdvances in Computational Mathematics
Volume45
Issue number5-6
Early online date18 Apr 2019
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Bilinear dynamical systems
  • Gradient descent
  • Grassmann manifold
  • Linear parameter-varying systems
  • Model order reduction

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