Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model
Type
Conference PaperKAUST Department
Applied Mathematics and Computational Science ProgramComputational Bioscience Research Center (CBRC)
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Date
2014-06Permanent link to this record
http://hdl.handle.net/10754/564926
Metadata
Show full item recordAbstract
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.Citation
Zayane-Aissa, C., Liu, D.-Y., & Laleg-Kirati, T.-M. (2014). Joint state and parameter estimation for a class of cascade systems: Application to a hemodynamic model. 2014 European Control Conference (ECC). doi:10.1109/ecc.2014.6862585Conference/Event name
13th European Control Conference, ECC 2014ISBN
9783952426913ae974a485f413a2113503eed53cd6c53
10.1109/ECC.2014.6862585