Counterexamples to Parametric Convergence in Recursive Networked Identification

被引：0

作者：

Yasini, Sholeh ^{[1
]}

Wigren, Torbjorn ^{[1
]}

机构：

[1] Uppsala Univ, Dept Informat Technol, Div Syst & Control, SE-75105 Uppsala, Sweden

来源：

2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC) | 2018年

关键词：

A-PRIORI INFORMATION; WIENER SYSTEMS; INPUT-DESIGN; LEAST AMOUNT;

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：

This paper studies a condition for global parametric convergence of a recursive identification algorithm with an output quantizer. The problem is addressed by an analytic calculation of the associated ODE for a low order test model. The ODE is then analysed numerically to investigate the possibilities for proving parametric convergence. The main contribution of the paper shows that a monotone quantizer is not a necessary condition for global parametric convergence to the true parameter vector w.p.1.

引用

页码：258 / 264

页数：7

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