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Sampled-Data Nonlinear Observer Design For Chaos Synchronization: A Lyapunov-Based Approach

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dc.contributor.author Faieghi, Mohammad Reza
dc.contributor.author Mashhadi, Seyed Kamal-e-ddin Mousavi
dc.contributor.author Baleanu, Dumitru
dc.date.accessioned 2020-05-11T13:31:34Z
dc.date.available 2020-05-11T13:31:34Z
dc.date.issued 2014-07
dc.identifier.issn 1007-5704
dc.identifier.issn 1878-7274
dc.identifier.uri http://hdl.handle.net/20.500.12416/3697
dc.description.abstract This paper considers sampled-data based chaos synchronization using observers in the presence of measurement noise for a large class of chaotic systems. We study discretized model of chaotic systems which are perturbed by white noise and employ Lyapunov-like theorems to come up with a simple yet effective observer design. For the choice of observer gain, a suboptimal criterion is obtained in terms of LMI. We present semiglobal as well as global results. The proposed scheme can also be extended for discrete-time chaotic systems. Numerical simulations have been carried out to verify the effectiveness of theoretical results. (C) 2013 Elsevier B.V. All rights reserved. tr_TR
dc.language.iso eng tr_TR
dc.publisher Elsevier Science tr_TR
dc.relation.isversionof 10.1016/j.cnsns.2013.11.021 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject State Estimation tr_TR
dc.subject Nonlinear Observer tr_TR
dc.subject Chaos Synchronization tr_TR
dc.subject Linear Matrix Inequality (LMI) tr_TR
dc.title Sampled-Data Nonlinear Observer Design For Chaos Synchronization: A Lyapunov-Based Approach tr_TR
dc.type article tr_TR
dc.relation.journal Communications in Nonlinear Science and Numerical Simulation tr_TR
dc.contributor.authorID 56389 tr_TR
dc.identifier.volume 19 tr_TR
dc.identifier.issue 7 tr_TR
dc.identifier.startpage 2444 tr_TR
dc.identifier.endpage 2453 tr_TR
dc.contributor.department Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü tr_TR


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