一类非线性生化系统的参数辨识

Parameter identification for a class of nonlinear biochemical systems

研究了一类非线性生化系统的参数辨识问题.针对一类非线性生化系统,建立了以浓度误差与斜率误差之和为目标函数的参数辨识优化模型.采用三次样条插值方法估计实验数据导数,运用MATLAB软件求解所建立的参数辨识优化模型.计算结果表明本文方法是有效的.

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.