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  • 标题:Nonlinear Observer design for Systems with Sampled Measurements: An LPV Approach
  • 本地全文:下载
  • 作者:Yassine Boukal ; Mohamed Zerrougui ; Ali Zemouche
  • 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:560-565
  • DOI:10.1016/j.ifacol.2020.12.491
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe aim of this work is to propose a design methodology of observers for a class of Lipschitz nonlinear dynamical systems with sampled measurements by using the differential mean value theorem (DMVT) which allows us to transform the nonlinear part of the estimation error dynamics into a linear parameter varying (LPV) system. The designed observer must ensure the stability of the estimation error subject to a sampled measurements. An LMI-based minimization problem is provided to ensure the stability and the existence of the observer using Lyapunov theory. Thus, the measurements sampling period is included in the LMI as a decision parameter. Indeed, this allows to widen the sampling period as much as possible, which helps optimization of energy consumption while guaranteeing the convergence of the observer. Finally, to illustrate the performance of the proposed methodology, a numerical example is presented.
  • 关键词:KeywordsObservers designLipschitz nonlinaritySampled measurementsLMI ApproachLPV system
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