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Control architectures for autonomous underwater vehicles

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dc.contributor.author Valavanis, KP en
dc.contributor.author Gracanin, D en
dc.contributor.author Matijasevic, M en
dc.contributor.author Kolluru, R en
dc.contributor.author Demetriou, GA en
dc.date.accessioned 2014-03-01T01:45:55Z
dc.date.available 2014-03-01T01:45:55Z
dc.date.issued 1997 en
dc.identifier.issn 02721708 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/24787
dc.subject.other Artificial intelligence en
dc.subject.other Constraint theory en
dc.subject.other Control systems en
dc.subject.other Hierarchical systems en
dc.subject.other Remote control en
dc.subject.other Robotics en
dc.subject.other Submarines en
dc.subject.other Unmanned underwater vehicles en
dc.subject.other Vehicles en
dc.title Control architectures for autonomous underwater vehicles en
heal.type journalArticle en
heal.identifier.primary 10.1109/37.642974 en
heal.identifier.secondary http://dx.doi.org/10.1109/37.642974 en
heal.publicationDate 1997 en
heal.abstract Autonomous Underwater Vehicles (AUVs) share common control problems with other air, land, and water unmanned vehicles. In addition to requiring high-dimensional and computationally intensive sensory data for real-time mission execution, power and communication limitations in an underwater environment make it more difficult to develop a control architecture for an AUV. In this article, the four types of control architectures being used for AUVs (hierarchical, heterarchical, subsumption, and hybrid architecture) are reviewed. A summary of 25 existing AUVs and a review of 11 AUV control architecture systems present a flavor of the state of the art in AUV technology. A new sensor-based embedded AUV control system architecture is also described and its implementation is discussed. en
heal.journalName IEEE Control Systems Magazine en
dc.identifier.doi 10.1109/37.642974 en
dc.identifier.volume 17 en
dc.identifier.issue 6 en
dc.identifier.spage 48 en
dc.identifier.epage 64 en


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