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  • 标题:Tracking underwater target using extremum seeking ★
  • 本地全文:下载
  • 作者:Filip Mandić ; Nikola Mišković
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:2
  • 页码:149-154
  • DOI:10.1016/j.ifacol.2015.06.024
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper problem of source-seeking and tracking underwater target by surface vehicle using range measurements with low sampling rate is addressed. Paper compares three extremum seeking schemes: classical extremum seeking, EKF based gradient estimation extremum seeking and EKF based gradient estimation extremum seeking enhanced with static function model data. It is shown that using additional model information can improve gradient estimation when dealing with intermittent range measurements.
  • 关键词:KeywordsExtremum seekingAutonomous vehiclesMarine systemsGradientsSampled data
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