Title :
System identification for a complex nonlinear model of the cardiovascular system
Author :
Sun, Ying ; KO, Younhee ; Lucariello, Richard J. ; Chiaramida, Salvatore A.
Author_Institution :
Biomed. Eng. Program, Rhode Island Univ., Kingston, RI, USA
Abstract :
This study addresses the problem of system identification with a complex model. A comprehensive model has been developed to provide realistic simulations of the cardiovascular system. The formidable problem of system identification is approached by iteratively applying a nonlinear optimization routine coupled with the model-based simulation
Keywords :
Runge-Kutta methods; cardiovascular system; haemodynamics; identification; iterative methods; nonlinear differential equations; optimisation; physiological models; Runge-Kutta method; cardiovascular system; complex nonlinear model; haemodynamic data; iterative routine; model-based simulation; nonlinear differential equations; nonlinear optimization routine; realistic simulations; simplex-based algorithm; system identification; Cardiology; Cardiovascular system; Computational modeling; Computer simulation; Differential equations; Hemodynamics; Iterative algorithms; Mathematical model; Response surface methodology; System identification;
Conference_Titel :
Bioengineering Conference, 2000. Proceedings of the IEEE 26th Annual Northeast
Conference_Location :
Storrs, CT
Print_ISBN :
0-7803-6341-8
DOI :
10.1109/NEBC.2000.842416
