文章基本信息

标题：Tracking underwater target using extremum seeking ★
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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