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  • 标题:Branch and bound algorithm for the robustness analysis of uncertain systems *
  • 本地全文:下载
  • 作者:L. Ravanbod ; D. Noll ; P. Apkarian
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:25
  • 页码:85-90
  • DOI:10.1016/j.ifacol.2015.11.064
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractComputing the worst-case spectral abscissa of a system with uncertain parameters allows to decide whether it is robustly stable in a given parameter range. Since this problem is NP-hard, we use a heuristic local optimization method based on a bundle trust-region strategy to compute good lower bounds. Then we employ branch-and-bound to certify the global maximum. A specific frequency sweeping technique is used to accelerate the global optimization.
  • 关键词:KeywordsSpectral abscissa minimum stability degree frequency sweep bundle trust-region
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