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  • 标题:State Observation of Affine-in-the-States Systems with Unknown Time-Varying Parameters and Output Delay
  • 本地全文:下载
  • 作者:Alexey Bobtsov ; Nikolay Nikolaev ; Romeo Ortega
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:12
  • 页码:341-346
  • DOI:10.1016/j.ifacol.2022.07.335
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper we address the problem of adaptive state observation of affine-in-the-states time-varying systems with delayed measurements and unknown parameters. The development of the results proposed in the [Bobtsov et al. 2021a] and in the [Bobtsov et al. 2021c] is considered. The case with known parameters has been studied by many researchers—see [Sanz et al. 2019, Bobtsov et al. 2021b] and references therein—where, similarly to the approach adopted here, the system is treated as alinear time-varyingsystem. We show that the parameter estimation-based observer (PEBO) design proposed in [Ortega et al. 2015, 2021] provides a very simple solution for the unknown parameter case. Moreover, when PEBO is combined with the dynamic regressor extension and mixing (DREM) estimation technique [Aranovskiy et al. 2016, Ortega et al. 2019], the estimated state converges infixed-timewith extremely weak excitation assumptions.
  • 关键词:KeywordsNonlinear time-varying systemsstate observerdelay systemsparameter estimation
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