Parameter identification for a class of nonlinear biochemical systems
XU Gong-xian
LIU Feng
WANG Jia-xing
Abstract：This paper addresses the parameter identification for a class of nonlinear biochemical systems .A parameter identification optimization model for these systems is established .This model can minimize the sum of least-square error and the slop error .A cubic spline interpolation method is used to estimate the derivatives of experiment data .The MATLAB software is applied to solve the proposed optimization model .The computational results show the effectiveness of the proposed approach .
Keywords：cubic spline interpolationparameter identificationbiochemical systems
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 6-10 )