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dc.contributor.authorBayrak, Alper
dc.contributor.authorTatlıcıoğlu, Enver
dc.date.accessioned2016-05-26T13:08:03Z
dc.date.available2016-05-26T13:08:03Z
dc.date.issued2016-05
dc.identifier.citationBayrak, A., and Tatlıcıoğlu, E. (2016). A novel online adaptive time delay identification technique. International Journal of Systems Science, 47(7), 1574-1585, doi:10.1080/00207721.2014.941958en_US
dc.identifier.issn1464-5319
dc.identifier.urihttp://dx.doi.org/10.1080/00207721.2014.941958
dc.identifier.urihttp://hdl.handle.net/11147/4665
dc.description.abstractTime delay is a phenomenon which is common in signal processing, communication, control applications, etc. The special feature of time delay that makes it attractive is that it is a commonly faced problem in many systems. A literature search on time-delay identification highlights the fact that most studies focused on numerical solutions. In this study, a novel online adaptive time-delay identification technique is proposed. This technique is based on an adaptive update law through a minimum-maximum strategy which is firstly applied to time-delay identification. In the design of the adaptive identification law, Lyapunov-based stability analysis techniques are utilised. Several numerical simulations were conducted with Matlab/Simulink to evaluate the performance of the proposed technique. It is numerically demonstrated that the proposed technique works efficiently in identifying both constant and disturbed time delays, and is also robust to measurement noise.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/00207721.2014.941958en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAdaptive identificationen_US
dc.subjectSignal processingen_US
dc.subjectTime delayen_US
dc.subjectTelecommunication networksen_US
dc.titleA novel online adaptive time delay identification techniqueen_US
dc.typearticleen_US
dc.contributor.authorIDTR123720en_US
dc.contributor.iztechauthorTatlıcıoğlu, Enver
dc.relation.journalInternational Journal of Systems Scienceen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume47en_US
dc.identifier.issue7en_US
dc.identifier.startpage1574en_US
dc.identifier.endpage1585en_US
dc.identifier.wosWOS:000367822000006
dc.identifier.scopusSCOPUS:2-s2.0-85000004200


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