On identifiability of discrete-time nonlinearly parameterized systems

被引：0
作者：
Li, Chanying [1 ,2 ]
Zhang, Xian
机构：
[1] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
来源：
SYSTEMS & CONTROL LETTERS | 2022年 / 160卷
基金：
中国国家自然科学基金;
关键词：
Identifiability; Discrete-time; Nonlinear parametrization; Random noises; Strong consistency; IDENTIFICATION;
D O I：
10.1016/j.sysconle.2021.105128
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This note shows that the identifiability of a nondivergent parameterized system depends on the density of the so called excitation points, which is a property of the underlying system. To ensure the identifiability, a lower bound of the density is computed, described by the random external signal (or process noise) bound. (C) 2022 Elsevier B.V. All rights reserved.
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页数：6
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