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  • 标题:State estimation for a locally unobservable parameter-varying system: one gradient-based and one switched solutions
  • 本地全文:下载
  • 作者:Stanislav Aranovskiy ; Denis Efimov ; Dmitry Sokolov
  • 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:578-583
  • DOI:10.1016/j.ifacol.2020.12.494
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work is motivated by a case study of a mechanical system where a sensor bias yields loose of observability for certain values of time-varying parameters. Two solutions are proposed: a nonlinear gradient-based observer that requires the persistency of excitation of the system trajectories and a switched observer that imposes an average dwell-time requirement. For both observers, asymptotic convergence of the estimates is proven. The theoretical results are supported by illustrative numerical simulations.
  • 关键词:Keywordsparameter-varying systemsswitched observernonlinear observerswitched Lyapunov function
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