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  • 标题:Model reduction by balanced truncation of dominant Lure systems ⁎
  • 本地全文:下载
  • 作者:Alberto Padoan ; Fulvio Forni ; Rodolphe Sepulchre
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:5617-5622
  • DOI:10.1016/j.ifacol.2020.12.1576
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents a model reduction framework geared towards the analysis and design of systems that switch and oscillate. While such phenomena are ubiquitous in nature and engineering, model reduction methods are not well developed for non-equilibrium behaviors. The proposed framework addresses this need by exploiting recent advances on dominance theory. Classical balanced truncation for linear time-invariant systems is used to develop a dominance-preserving model reduction method for Lure systems,i.e.systems that can be decomposed as the feedback interconnection of a linear system and a static nonlinearity. The method is illustrated by approximating the oscillatory behavior of a discretized heat flow control system.
  • 关键词:KeywordsModel reductionnonlinear systemsmultistabilityoscillations
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