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

Chadia Zayane, Dayan Liu, Taous-Meriem Laleg-Kirati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish (US)
Title of host publication2014 European Control Conference (ECC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages522-527
Number of pages6
ISBN (Print)9783952426913
DOIs
StatePublished - Jun 2014

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