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  • 标题:Information Structures of the Kalman Filter for the Elastic Wave Equation
  • 本地全文:下载
  • 作者:Juncal Arbelaiz ; Emily Jensen ; Bassam Bamieh
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:13
  • 页码:1-6
  • DOI:10.1016/j.ifacol.2022.07.226
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe study the Kalman Filter for the linear elastic wave equation over the real line with spatially distributed partial state measurements. The dynamics of the filter are described by a spatial convolution operator with asymptotic exponential spatial decay rate. This decay rate dictates how measurements from different spatial locations must be exchanged to implement the filter: faster spatial decay implies local measurements are more relevant and the filter is more “decentralized”; slower decay implies farther measurements also become relevant and the filter is more “centralized”. Using dimensional analysis, we demonstrate that this decay rate is a function of one dimensionless group defined from system parameters, such as wave speed and noise variances. We find a critical value of such dimensionless group for which the Kalman Filter is completely decentralized.
  • 关键词:KeywordsDistributed estimationInfinite-dimensional systemsElastic waves
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