Exponential estimation of the unknown frequencies of discrete-time multi-tone sinusoidal signals

被引:10
|
作者
Liu, Tao [1 ]
Huang, Jie [1 ]
机构
[1] Chinese Univ Hong Kong, Dept Mech & Automat Engn, Shatin, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Frequency estimation; Discrete-time systems; Adaptive control; Parameter convergence; STABILITY; CONVERGENCE;
D O I
10.1016/j.automatica.2021.109698
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
While the estimation problem of the unknown frequencies for a continuous-time multi-tone sinusoidal signal was thoroughly solved in the early 2000s, the discrete-time version of this problem was studied only recently via a nonlinear control approach. In this paper, we present a simpler approach to the estimation problem of the unknown frequencies for a discrete-time multi-tone sinusoidal signal. Our approach only involves the design of two linear filters together with a linear adaptation law. As a result, the implementation of our two linear filters is easier than that of nonlinear ones. Moreover, the linear form of our filters lends itself to the establishment of the exponential convergence of the estimated frequencies to their actual values. In addition, we obtain an interesting exponential stability result for a class of discrete-time linear time-varying systems that can be viewed as a discrete-time counterpart of a well-known stability result arising from continuous-time adaptive identification. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:7
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