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dc.contributor.authorZayane, Chadia
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.date.accessioned2015-08-04T07:25:24Z
dc.date.available2015-08-04T07:25:24Z
dc.date.issued2014-06
dc.identifier.citationZayane-Aissa, C., & Laleg-Kirati, T.-M. (2014). A sliding mode observer for hemodynamic characterization under modeling uncertainties. 22nd Mediterranean Conference on Control and Automation. doi:10.1109/med.2014.6961586
dc.identifier.isbn9781479959006
dc.identifier.doi10.1109/MED.2014.6961586
dc.identifier.urihttp://hdl.handle.net/10754/564927
dc.description.abstractThis paper addresses the case of physiological states reconstruction in a small region of the brain under modeling uncertainties. The misunderstood coupling between the cerebral blood volume and the oxygen extraction fraction has lead to a partial knowledge of the so-called balloon model describing the hemodynamic behavior of the brain. To overcome this difficulty, a High Order Sliding Mode observer is applied to the balloon system, where the unknown coupling is considered as an internal perturbation. The effectiveness of the proposed method is illustrated through a set of synthetic data that mimic fMRI experiments.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.titleA sliding mode observer for hemodynamic characterization under modeling uncertainties
dc.typeConference Paper
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journal22nd Mediterranean Conference on Control and Automation
dc.conference.date16 June 2014 through 19 June 2014
dc.conference.name22nd Mediterranean Conference on Control and Automation, MED 2014
kaust.personLaleg-Kirati, Taous-Meriem
kaust.personZayane, Chadia


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