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dc.contributor.authorUçak, Kemal
dc.contributor.authorUstoglu, Ilker
dc.contributor.authorGunel, Gulay Oke
dc.date.accessioned2020-11-20T14:49:57Z
dc.date.available2020-11-20T14:49:57Z
dc.date.issued2018
dc.identifier.issn1370-4621
dc.identifier.issn1573-773X
dc.identifier.urihttps://doi.org/10.1007/s11063-017-9738-8
dc.identifier.urihttps://hdl.handle.net/20.500.12809/1410
dc.descriptionUcak, Kemal/0000-0003-3031-2139en_US
dc.descriptionWOS: 000439352200023en_US
dc.description.abstractIn this study, a novel safety-critical online support vector regressor (SVR) controller based on the system model estimated by a separate online SVR is proposed. The parameters of the controller are optimized using closed-loop margin notion proposed in U double dagger ak and Gunel (Soft Comput 20(7):2531-2556, 2016). The stability analysis of the closed-loop system has been actualised to design an architecture where operation is interrupted and safety is assured in case of instability. The SVR controller proposed in U double dagger ak and Gunel (2016) has been improved to a safety-critical structure by the addition of a failure diagnosis block which carries out Lyapunov stability analysis and detects failures when the overall system becomes unstable. The performance of the proposed method has been evaluated by simulations carried out on a process control system. The results show that the proposed safety-critical SVR controller attains good modelling and control performances and failures arising from instability can be successfully detected.en_US
dc.item-language.isoengen_US
dc.publisherSpringeren_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectModel Based Adaptive Controlen_US
dc.subjectOnline Support Vector Regressionen_US
dc.subjectSafety-Critical SVR Controlleren_US
dc.subjectSVR Controlleren_US
dc.subjectSVR Model Identificationen_US
dc.subjectStability Analysisen_US
dc.titleSafety-Critical Support Vector Regressor Controller for Nonlinear Systemsen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorUçak, Kemal
dc.identifier.doi10.1007/s11063-017-9738-8
dc.identifier.volume48en_US
dc.identifier.issue1en_US
dc.identifier.startpage419en_US
dc.identifier.endpage440en_US
dc.relation.journalNeural Processing Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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