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  • 标题:Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
  • 本地全文:下载
  • 作者:Stanislav Aranovskiy ; Alexey Bobtsov ; Romeo Ortega
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:13
  • 页码:99-104
  • DOI:10.1016/j.ifacol.2016.07.934
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergence. Next, we apply the dynamic regressor extension and mixing technique to improve transient performance of the basic approach and ensure non-strict monotonicity of estimation errors. Simulation results illustrate benefits of the proposed solution.
  • 关键词:Keywordsestimationperformancefrequency identificationgradient methods
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