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  • 标题:Polynomial Chaos-Based H 2-optimal Static Output Feedback Control of Systems with Probabilistic Parametric Uncertainties
  • 本地全文:下载
  • 作者:Dongying E. Shen ; Sergio Lucia ; Yiming Wan
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:3536-3541
  • DOI:10.1016/j.ifacol.2017.08.949
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTheH2-optimal static output feedback control design for linear time-invariant systems with time-invariant probabilistic parametric uncertainties subject to disturbances and noise is formulated in terms of an optimization with a highly sparse bilinear matrix inequality (BMI) constraint. The BMI formulation is derived by employing polynomial chaos expansions to represent the effect of the parametric uncertainties on theH2norm. The effect of using a finite number of terms in the expansions is discussed and addressed by incorporating a robustifying parameter in the BMI formulation. In a case study, the feedback controller converges using a sixth-order expansion, with a substantial improvement in robustness to parametric uncertainty.
  • 关键词:Keywordsstatic output feedbackrobust controluncertain dynamic systemsuncertain linear systemsbilinear matrix inequalitiesoptimal control
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