摘要
本文在已知后验知识的基础上，提出了以极小化待识别参数标准差为目标函数的最佳遗忘因子选择方案，考察了遗忘因子选取对时变参数识别结果的影响。数字仿真结果表明，对于各种不同算法（ＬＳ，ＤＬＳ，ＩＶ），选用最佳遗忘因子后，相应于标准差达极小的物理参数的识别结果均优于以往凭经验所选择的遗忘因子的识别结果。依本文方法而进行的模拟计算。
There have been no methods of selecting the ideal values of the forgetting factors so far.In this paper,an optimum scheme for determining this parameter is presented on the basis of a knowledge after effect,where the normalised error of the estimated parametrs is taken as an objective function. The effect of forgetting factors on estimated results of time varying parameters is examined. The simulated results show that as the optimum forgetting factor is determined, the estimated results of the physical parameter corresponding to the minimum noumalised error are better than those obtained by using experience to determine the forgetting factors for three time domain system identification algorithms:Least Squares,Double Least Squares and Instrumental Variables.The simulated calculations according to this method can provide a theoretical basis for determining the optimum forgetting factor to the identification of time varying parameters of different varying types.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
1996年第1期75-80,共6页
Journal of Astronautics
基金
国家教育委员会留学回国人员资助费支持项目
关键词
时变参数识别
模态参数
遗忘因子
振动系统
Time varying parameter identification Physical parameter Modal parameter Forget- ting factor
