计算机与数字工程2025，Vol.53Issue(10)：2683-2687,5.DOI:10.3969/j.issn.1672-9722.2025.10.002
基于辅助模型的多新息随机梯度辨识方法
Multi-information Stochastic Gradient Identification Method Based on Auxiliary Model
摘要
Abstract
Based on the input/output representation of linear systems and the theory of multi-information identification,a method of multi-information stochastic gradient identification based on auxiliary model is proposed.The algorithm has better perfor-mance than the existing stochastic gradient identification algorithms in terms of identification accuracy and convergence speed.Com-pared with the least squares identification algorithm,it has the advantages of less computation and higher identification accuracy.Fi-nally,the effectiveness of the proposed algorithm is verified by a simulation example.关键词
系统辨识/最小二乘/随机梯度/多新息辨识Key words
system identification/least squares/stochastic gradient/multi-information identification分类
数理科学引用本文复制引用
SU Xiangyu,LIU Yang,HE Yan..基于辅助模型的多新息随机梯度辨识方法[J].计算机与数字工程,2025,53(10):2683-2687,5.基金项目
国防重点实验室建设项目(编号:JCKYS2021SXJQR-02)资助. （编号:JCKYS2021SXJQR-02）
