A new parameter estimation algorithm for non-uniformly multirate sampled-data systems

被引:0
|
作者
Liu, Yanjun [1 ]
Ding, Feng [1 ]
Shi, Yang [2 ]
机构
[1] Jiangnan Univ, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Peoples R China
[2] Univ Victoria, Dept Mech Engn, Victoria, BC V8N 3P6, Canada
关键词
Recursive identification; parameter estimation; stochastic gradient; least squares; discretization; multirate systems; non-uniform sampling; SQUARES IDENTIFICATION METHODS; INFERENTIAL CONTROL; MISSING DATA; MODELS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the input-output representation of non-uniformly multirate discrete-time systems, a coupled least squares algorithm is derived to estimate the model parameters with the advantage of avoiding the computation of matrix inversion. Moreover, The proposed algorithm has good convergence properties. The simulation test verifies the effectiveness of the algorithm.
引用
收藏
页码:84 / 89
页数:6
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