摘要
主要涉及间接测热系统的数学模型及参数估计。考虑到测量过程中测量信号微弱及测量噪声所带来的污染,采用极大似然理论进行了间接测热系统数学模型的参数辨识,并将牛顿-拉夫逊法引入到该系统的参数估计中,从而能够准确估计出间接测热系统模型参数,且对不同的初始值能得到一致的结果。
The mathematical model and parameter estimation for the indirect calorimetry system are discussed in this paper.Considering the disturdance of apparatus noise on the output channel and the weak output signal measured,the maximum likelihood method is used in estimating the parameter of the mathematical model of the indirect calorimetry system .In addition ,the Newton-Raphson method is introduced in the identification algorithm .An accurate result can be achieved by the proposed method even when initial values are arditrarily given
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2003年第11期1404-1406,共3页
Systems Engineering and Electronics
基金
国家自然科学基金资助课题(60171018)
关键词
极大似然法
测热系统
参数估计
Maximum likelihood method
Calorimetry system
Parameter estimation
