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  • 标题:Adaptive stabilization by delay with biased measurements
  • 本地全文:下载
  • 作者:Denis Efimov ; Stanislav Aranovskiy ; Emilia Fridman
  • 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:1684-1689
  • DOI:10.1016/j.ifacol.2020.12.2234
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe problem of output robust adaptive stabilization for a class of Lipschitz nonlinear systems is studied under assumption that the measurements are available with a constant bias. The state reconstruction is avoided by using delayed values of the output in the feedback and adaptation laws. The control and adaptation gains can be selected as a solution of the proposed linear matrix inequalities (LMIs). The efficiency of the presented approach is demonstrated on a nonlinear pendulum through simulations.
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