• Media type: E-Article
  • Title: Fast Low‐Rank Empirical Cross Gramians
  • Contributor: Himpe, Christian; Leibner, Tobias; Rave, Stephan; Saak, Jens
  • imprint: Wiley, 2017
  • Published in: PAMM
  • Language: English
  • DOI: 10.1002/pamm.201710388
  • ISSN: 1617-7061
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: <jats:title>Abstract</jats:title><jats:p>The cross Gramian matrix encodes the input‐output coherence of linear control systems and is used in projection‐based model reduction. The empirical cross Gramian is a data‐driven variant of the cross Gramian which also extends to nonlinear systems. A drawback of the empirical cross Gramian for large‐scale systems is its full order and dense structure; yet, it may be computed column‐wise. Using the hierarchical approximate proper orthogonal decomposition (HAPOD), this partial computability can be exploited to obtain a truncated projection for model order reduction without assembling a full cross Gramian. (© 2017 Wiley‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)</jats:p>