Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model

Handle URI:
http://hdl.handle.net/10754/564926
Title:
Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model
Authors:
Zayane, Chadia ( 0000-0002-3035-3048 ) ; Liu, Dayan; Laleg-Kirati, Taous-Meriem ( 0000-0001-5944-0121 )
Abstract:
In this paper, we address a special case of state and parameter estimation, where the system can be put on a cascade form allowing to estimate the state components and the set of unknown parameters separately. Inspired by the nonlinear Balloon hemodynamic model for functional Magnetic Resonance Imaging problem, we propose a hierarchical approach. The system is divided into two subsystems in cascade. The state and input are first estimated from a noisy measured signal using an adaptive observer. The obtained input is then used to estimate the parameters of a linear system using the modulating functions method. Some numerical results are presented to illustrate the efficiency of the proposed method.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 European Control Conference (ECC)
Conference/Event name:
13th European Control Conference, ECC 2014
Issue Date:
Jun-2014
DOI:
10.1109/ECC.2014.6862585
Type:
Conference Paper
ISBN:
9783952426913
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZayane, Chadiaen
dc.contributor.authorLiu, Dayanen
dc.contributor.authorLaleg-Kirati, Taous-Meriemen
dc.date.accessioned2015-08-04T07:25:22Zen
dc.date.available2015-08-04T07:25:22Zen
dc.date.issued2014-06en
dc.identifier.isbn9783952426913en
dc.identifier.doi10.1109/ECC.2014.6862585en
dc.identifier.urihttp://hdl.handle.net/10754/564926en
dc.description.abstractIn this paper, we address a special case of state and parameter estimation, where the system can be put on a cascade form allowing to estimate the state components and the set of unknown parameters separately. Inspired by the nonlinear Balloon hemodynamic model for functional Magnetic Resonance Imaging problem, we propose a hierarchical approach. The system is divided into two subsystems in cascade. The state and input are first estimated from a noisy measured signal using an adaptive observer. The obtained input is then used to estimate the parameters of a linear system using the modulating functions method. Some numerical results are presented to illustrate the efficiency of the proposed method.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectAdaptive observersen
dc.subjectBalloon Modelen
dc.subjectfMRIen
dc.subjectJoint state and parameter estimationen
dc.subjectModulating functions methoden
dc.titleJoint state and parameter estimation for a class of cascade systems: Application to a hemodynamic modelen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.identifier.journal2014 European Control Conference (ECC)en
dc.conference.date24 June 2014 through 27 June 2014en
dc.conference.name13th European Control Conference, ECC 2014en
kaust.authorLaleg-Kirati, Taous-Meriemen
kaust.authorZayane, Chadiaen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.