Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2713
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dc.contributor.authorNath, Nitendra-
dc.contributor.authorTatlıcıoğlu, Enver-
dc.contributor.authorDawson, Darren M.-
dc.date.accessioned2017-01-04T08:47:52Z-
dc.date.available2017-01-04T08:47:52Z-
dc.date.issued2010-07-
dc.identifier.citationNath, N., Tatlıcıoğlu, E., and Dawson, D. M. (2010). Range identification for nonlinear parameterizable paracatadioptric systems. Automatica, 46(7), 1129-1140. doi:10.1016/j.automatica.2010.03.017en_US
dc.identifier.issn0005-1098-
dc.identifier.issn1873-2836-
dc.identifier.urihttp://doi.org/10.1016/j.automatica.2010.03.017-
dc.identifier.urihttp://hdl.handle.net/11147/2713-
dc.description.abstractIn this paper, a new range identification technique for a calibrated paracatadioptric system mounted on a moving platform is developed to recover the range information and the three-dimensional (3D) Euclidean coordinates of a static object feature. The position of the moving platform is assumed to be measurable. To identify the unknown range, first, a function of the projected pixel coordinates is related to the unknown 3D Euclidean coordinates of an object feature. This function is nonlinearly parameterized (i.e., the unknown parameters appear nonlinearly in the parameterized model). An adaptive estimator based on a minmax algorithm is then designed to estimate the unknown 3D Euclidean coordinates of an object feature relative to a fixed reference frame which facilitates the identification of range. A Lyapunov-type stability analysis is used to show that the developed estimator provides an estimation of the unknown parameters within a desired precision. Numerical simulation results are presented to illustrate the effectiveness of the proposed range estimation technique. © 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofAutomaticaen_US
dc.relation.urihttp://hdl.handle.net/11147/2456
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectParameterizationen_US
dc.subjectLyapunov methodsen_US
dc.subjectMinmax algorithmen_US
dc.subjectParacatadioptric systemsen_US
dc.subjectRange identificationen_US
dc.subjectVision-based estimationen_US
dc.titleRange identification for nonlinear parameterizable paracatadioptric systemsen_US
dc.typeArticleen_US
dc.authoridTR123720en_US
dc.institutionauthorTatlıcıoğlu, Enver-
dc.departmentIzmir Institute of Technology. Electronics and Communication Engineeringen_US
dc.identifier.volume46en_US
dc.identifier.issue7en_US
dc.identifier.startpage1129en_US
dc.identifier.endpage1140en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.automatica.2010.03.017-
dc.relation.doi10.1016/j.automatica.2010.03.017en_US
dc.coverage.doi10.1016/j.automatica.2010.03.017en_US
dc.identifier.scopusqualityQ1-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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