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  • 标题:Advances on the Adaptive Selection of Both Shifts and Reduced Order in H 2 -Pseudo-Optimal Model Reduction ★
  • 本地全文:下载
  • 作者:Alessandro Castagnotto ; Heiko K.F. Panzer ; Thomas Wolf
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:1
  • 页码:679-680
  • DOI:10.1016/j.ifacol.2015.05.182
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The accurate description of dynamical systems in the fields of engineering and applied sciences can result in highfidelity models (HFM) of prohibitively large dimensions. This is the case, for instance, in the very-large-scale integration of electrical circuits or for models resulting from the spatial discretization of partial differential equations over a fine grid. Simulations, optimizations, and control design algorithms based on these large models are computationally expensive, if at all feasible.
  • 关键词:KeywordsModel reductionlarge-scale systemsKrylov subspace methodsstrictly dissipative realization
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