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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.inffus.2023.101857</dc:identifier><dc:language>eng</dc:language><dc:creator>Aldana-López, Rodrigo</dc:creator><dc:creator>Aragüés, Rosario</dc:creator><dc:creator>Sagüés, Carlos</dc:creator><dc:title>Perception-latency aware distributed target tracking</dc:title><dc:identifier>ART-2023-134165</dc:identifier><dc:description>This work is devoted to the problem of distributed target tracking when a team of robots detect the target through a variable perception-latency mechanism. A reference for the robots to track is constructed in terms of a desired formation around the estimation of the target position. However, it is noted that due to the perception-latency, classical estimation techniques have smoothness issues which prevent asymptotic stability for the formation control. We propose a near-optimal smooth-output estimator which circumvents this issue. Moreover, local estimations are fused using novel dynamic consensus techniques. The advantages of the proposal as well as a comparison with a non-smooth optimal alternative are discussed through simulation examples.</dc:description><dc:date>2023</dc:date><dc:source>http://zaguan.unizar.es/record/126771</dc:source><dc:doi>10.1016/j.inffus.2023.101857</dc:doi><dc:identifier>http://zaguan.unizar.es/record/126771</dc:identifier><dc:identifier>oai:zaguan.unizar.es:126771</dc:identifier><dc:relation>info:eu-repo/grantAgreement/EUR/AEI/TED2021-130224B-I00</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/DGA/T45-23R</dc:relation><dc:relation>info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2021-124137OB-I00</dc:relation><dc:identifier.citation>Information Fusion 99 (2023), 101857 [9 pp.]</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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