Parameter identification and intersample output estimation. of a class of dual-rate systems

被引:9
作者
Feng, D [1 ]
Chen, TW [1 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
来源
42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS | 2003年
关键词
system identification; output estimation; multirate systems; convergence properties; least squares optimization;
D O I
10.1109/CDC.2003.1272522
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 a class of dual-rate systems in which the input updating rate is an integer multiple of the output sampling rate, a frequency-domain model with a finite number of parameters is derived; based on this model, new algorithms for parameter identification and intersample output estimation using directly the dual-rate input-output data are proposed. We study convergence properties of the algorithms in detail in the stochastic framework and show: 1) the parameter estimation error consistently converges to zero under the persistent excitation condition; 2) the intersample output estimation error is uniformly bounded; and 3) the estimated output at the sampling instants based on the past input-output data has the property of minimum variance. Finally, we illustrate and test the proposed algorithms with an example system.
引用
收藏
页码:5555 / 5560
页数:6
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