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Chaos synchronization and parameters identification of single time scale brushless DC motors

dc.citation.epage903en_US
dc.citation.issue4en_US
dc.citation.spage883en_US
dc.citation.volume20en_US
dc.citation.woscount32
dc.contributor.authorGe, ZMen_US
dc.contributor.authorChang, CMen_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.date.accessioned2014-12-08T15:39:17Z
dc.date.available2014-12-08T15:39:17Z
dc.date.issued2004-05-01en_US
dc.description.abstractChaos synchronization and parameters identification of single time scale brushless dc motors are studied in this paper. In order to analyze a variety of periodic and chaotic phenomena, we employ several numerical techniques such as phase portrait, bifurcation diagram, and Lyapunov exponents. By the adaptive control, the improved backstepping design method, the Gerschgorin theorem, and by addition of a monitor, chaos synchronization of two identical BLDCM systems are presented. Then, by the adaptive control, and the random optimization method, parameters identification is approached. (C) 2003 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.chaos.2003.10.005en_US
dc.identifier.issn0960-0779en_US
dc.identifier.journalCHAOS SOLITONS & FRACTALSen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.chaos.2003.10.005en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/26828
dc.identifier.wosnumberWOS:000187858200024
dc.language.isoen_USen_US
dc.titleChaos synchronization and parameters identification of single time scale brushless DC motorsen_US
dc.typeArticleen_US

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