Adaptive observer for the joint estimation of parameters and input for a coupled wave PDE and infinite dimensional ODE system
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Online Publication Date2016-08-05
Print Publication Date2016-07
Permanent link to this recordhttp://hdl.handle.net/10754/622373
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AbstractThis paper deals with joint parameters and input estimation for coupled PDE-ODE system. The system consists of a damped wave equation and an infinite dimensional ODE. This model describes the spatiotemporal hemodynamic response in the brain and the objective is to characterize brain regions using functional Magnetic Resonance Imaging (fMRI) data. For this reason, we propose an adaptive estimator and prove the asymptotic convergence of the state, the unknown input and the unknown parameters. The proof is based on a Lyapunov approach combined with a priori identifiability assumptions. The performance of the proposed observer is illustrated through some simulation results.
CitationBelkhatir Z, Mechhoud S, Laleg-Kirati T-M (2016) Adaptive observer for the joint estimation of parameters and input for a coupled wave PDE and infinite dimensional ODE system. 2016 American Control Conference (ACC). Available: http://dx.doi.org/10.1109/ACC.2016.7525445.
Conference/Event name2016 American Control Conference, ACC 2016