Closed-loop identification for a class of nonlinearly parameterized discrete-time systems

被引：1
|
作者：
Li, Chanying [1 ,2 ]
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：
AUTOMATICA | 2021年 / 131卷
基金：
中国国家自然科学基金;
关键词：
Closed-loop identification; Strong consistency; Nonlinear estimator; Parametric systems; Random noises; IDENTIFIABILITY; MODELS;
D O I：
10.1016/j.automatica.2021.109747
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 paper studies the identification of discrete-time nonlinear parameterized control systems in given experiments. A necessary and sufficient condition of the closed-loop identifiability is established for the stable experiments and an algorithm is proposed to estimate the parameter. The estimates are shown to be strongly consistent with the convergence rate explicitly computed under some simple algebraic condition. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数：11
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