Lyapunov Stability Theory Based Adaptive Filter Algorithm for Noisy Measurements

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dc.authorid0000-0002-0619-549X
dc.contributor.authorMenguc, Engin Cemal
dc.contributor.authorAcir, Nurettin
dc.contributor.editorAlDabass, D
dc.contributor.editorOrsoni, A
dc.contributor.editorYunus, J
dc.contributor.editorCant, R
dc.contributor.editorIbrahim, Z
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2013
dc.departmentNiğde ÖHÜ
dc.descriptionUKSim-AMSS 15th International Conference on Computer Modelling and Simulation (UKSim) -- APR 10-12, 2013 -- Emmanuel Coll, Cambridge, ENGLAND
dc.description.abstractThis paper presents a Lyapunov stability theory based adaptive filter algorithm with a determined step size. The proposed algorithm thanks to its step size leads to a faster convergence rate and a lover misadjustment error in case of the noisy measurement environments. Also the proposed algorithm ensures to estimate the best optimal unknown weight vector by using a step size. Simulations on white and non-white Gaussian input signals justify the proposed algorithm for the noisy environments. The simulation results demonstrate good tracking capability and low misalignment error of the proposed algorithm in case of the noisy measurement environments for system identification problems.
dc.description.sponsorshipUK Simulat Soc, Asia Modelling & Simulat Soc, IEEE Comp Soc (UK & RI), IEEE Reg 8, IEEE, European Federat Simulat Soc, European Council Modelling & Simulat, Kingston Univ, Imperial Coll, Machine Intelligence Res Labs, Norwegian Univ Sci & Technol, Nottingham Trent Univ, Univ Technol Malaysia, Univ Sci Malaysia, Univ Malaysia Sabah, Univ Technol Mara, Univ Malaysia Perlis, Univ Malaysia Pahang, IEEE Reg 10, Kasetsart Univ, Inst Teknologi Bandung, IEEE UK & RI
dc.identifier.doi10.1109/UKSim.2013.50
dc.identifier.endpage454
dc.identifier.isbn978-0-7695-4994-1 -- 978-1-4673-6421-8
dc.identifier.issn2381-4772
dc.identifier.scopus2-s2.0-84880879095
dc.identifier.scopusqualityN/A
dc.identifier.startpage451
dc.identifier.urihttps://dx.doi.org/10.1109/UKSim.2013.50
dc.identifier.urihttps://hdl.handle.net/11480/4456
dc.identifier.wosWOS:000325091800079
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartofUKSIM-AMSS 15TH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM 2013)
dc.relation.ispartofseriesUKSim International Conference on Computer Modelling and Simulation
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLyapunov stability theory
dc.subjectadaptive filters
dc.subjectstep size
dc.subjectsystem identification
dc.titleLyapunov Stability Theory Based Adaptive Filter Algorithm for Noisy Measurements
dc.typeConference Object

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