Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/678
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dc.contributor.authorTohme, Elie Tonien_US
dc.contributor.authorOuvrard, Regisen_US
dc.contributor.authorAbche, Antoineen_US
dc.contributor.authorTrigeassou, Jean Claudeen_US
dc.contributor.authorPoinot, Thierryen_US
dc.contributor.authorMercère, Guillaumeen_US
dc.date.accessioned2020-12-23T08:34:55Z-
dc.date.available2020-12-23T08:34:55Z-
dc.date.issued2015-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/678-
dc.description.abstractIn this work, a new off-line optimization approach is proposed to improve the global convergence. This algorithm, called Pseudo-Output Error (POE) algorithm, is based on the introduction of a stationary filter in the parametric sensitivity functions of the Gauss-Newton algorithm. The global convergence is assured for a first order system, what ever the stationary filter of the same order. Consequently, a partial fraction expansion of an nth order system into n first order systems in parallel is introduced. The identification of each individual system using the POE algorithm is globally convergent. The expansion introduces a filtering process and uses an a priori knowledge on the parameters that can bias the estimation process. However, the estimated parameters are close to the true parameters and are used to initialize the Gauss-Newton Output Error (OE) algorithm. The results of the performed simulations show the efficiency of the proposed approach. In particular, while the traditional OE algorithm diverges when it is applied directly to the system to be identified, the POE algorithm in conjunction with the decomposition of the system leads to a very good initialization for the OE algorithm. Consequently, the latter algorithm converges to the true parameters.en_US
dc.format.extent8 p.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectConvergenceen_US
dc.subjectFiltering theoryen_US
dc.subjectOptimisationen_US
dc.subject.lcshParameter estimationen_US
dc.titleA methodology to enhance the convergence of output error identification algorithmsen_US
dc.typeConference Paperen_US
dc.relation.conferenceEuropean Control Conference (ECC) (2-5 July 2007 : Kos, Greece)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.startpage5721en_US
dc.description.endpage5728en_US
dc.date.catalogued2018-05-22-
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://ieeexplore.ieee.org/abstract/document/7068408/en_US
dc.identifier.OlibID180486-
dc.relation.ispartoftextEuropean Control Conference (ECC), 2007en_US
dc.provenance.recordsourceOliben_US
crisitem.author.parentorgFaculty of Engineering-
Appears in Collections:Department of Electrical Engineering
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