Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/8807
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dc.contributor.authorYang, F-
dc.contributor.authorWang, Z-
dc.contributor.authorLauria, S-
dc.contributor.authorHu, X-
dc.date.accessioned2014-07-29T13:38:12Z-
dc.date.available2014-07-29T13:38:12Z-
dc.date.issued2009-
dc.identifier.citationProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 223(I8), 1067 - 1080, 2009en_US
dc.identifier.issn0959-6518-
dc.identifier.urihttp://pii.sagepub.com/content/223/8/1067en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/8807-
dc.descriptionThis is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2009 Institution of Mechanical Engineers.en_US
dc.description.abstractIn this paper, a novel methodology is provided for accurate localization of a mobile robot using autonomous navigation based on internal and external sensors. A new robust extended H∞ filter is developed to deal with the non-linear kinematic model of the robot and the non-linear distance measurements, together with process and measurement noises. The proposed filter relies on a two-step prediction-correction structure, which is similar to a Kalman filter. Simulations are provided to demonstrate the effectiveness of the proposed method.en_US
dc.description.sponsorshipEPSRC, the Nuffield Foundation, and the Alexander von Humboldt Foundation.en_US
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherSage Publicationsen_US
dc.subjectAutonomous mobile roboten_US
dc.subjectLocalizationen_US
dc.subjectRobust extended H-infinity filteringen_US
dc.subjectNavigationen_US
dc.titleMobile robot localization using robust extended H-infinity filteringen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1243/09596518JSCE791-
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Dept of Computer Science Research Papers

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