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dc.contributor.authorTohidi, Shahaben_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.coverage.spatialNaples, Italyen_US
dc.date.accessioned2020-01-29T13:12:10Z
dc.date.available2020-01-29T13:12:10Z
dc.date.issued2019-06
dc.identifier.urihttp://hdl.handle.net/11693/52909
dc.descriptionDate of Conference: 25-28 June 2019en_US
dc.descriptionConference name: 18th European Control Conference (ECC), 2019en_US
dc.description.abstractInspired by humans' ability to adapt to changing environments, this paper proposes an adaptive human model that mimics the crossover model despite input bandwidth deviations and plant uncertainties. The proposed human pilot model structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov-Krasovskii stability criteria applied to the overall closed loop system including the human pilot and the plant. The proposed model can be employed for human-in-the-Ioop stability and performance analyses with different controllers and plant types. A numerical example is used to demonstrate the effectiveness of the presented method.en_US
dc.description.sponsorshipTÜBİTAK, BAGEPen_US
dc.language.isoEnglishen_US
dc.source.title18th European Control Conference (ECC), 2019en_US
dc.relation.isversionofhttps://doi.org/10.23919/ECC.2019.8795847en_US
dc.subjectClosed loop systemsen_US
dc.subjectControl system synthesisen_US
dc.subjectDelaysen_US
dc.subjectLyapunov methodsen_US
dc.subjectModel reference adaptive control systemsen_US
dc.subjectRobust controlen_US
dc.subjectStability criteriaen_US
dc.subjectUncertain systemsen_US
dc.titleAdaptive human pilot model for uncertain systemsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.citation.spage2938en_US
dc.citation.epage2943en_US
dc.identifier.doi10.23919/ECC.2019.8795847en_US
dc.publisherIEEEen_US
dc.contributor.bilkentauthorTohidi, Shahab
dc.contributor.bilkentauthorYıldız, Yıldıray


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