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  • 标题:Robust Output Estimator Synthesis Based on Cycling-Based LPTV Scaling
  • 本地全文:下载
  • 作者:Yohei Hosoe ; Mitsuaki Miyamoto ; Tomomichi Hagiwara
  • 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:7578-7583
  • DOI:10.1016/j.ifacol.2017.08.996
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is concerned with robust output estimator synthesis for discrete-time linear periodically time-varying (LPTV) systems with uncertainties. To evaluate robustness of estimation, we exploit the separator-type robust stability theorem under the cycling-based treatment of LPTV systems; we call such an approach for robustness analysis cycling-based LPTV scaling. Then, we derive a linear matrix inequality condition for robust estimator synthesis. A noteworthy property of our cycling-based synthesis approach is that we can predetermine the estimator period in the synthesis regardless of the system period, which is difficult to achieve in the case with the lifting-based treatment of LPTV systems.
  • 关键词:KeywordsPeriodic systemsrobust estimationcyclingscalingLMI
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