Efficient Data-Driven Estimation of Passivity Properties

被引：21

作者：

Tanemura, Masaya ^{[1
]}

Azuma, Shun-ichi ^{[1
]}

机构：

[1] Nagoya Univ, Grad Sch Engn, Nagoya, Aichi 4648603, Japan

来源：

IEEE CONTROL SYSTEMS LETTERS | 2019年 / 3卷 / 02期

基金：

日本科学技术振兴机构;

关键词：

Data-driven estimation; passivity; gradient methods;

D O I：

10.1109/LCSYS.2018.2887241

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, the estimation of passivity based on data is considered. We extend an existing estimation method that is based on iterative input-output experiments and can determine the passivity of systems, but requires many experiments for each iteration. Therefore, we propose a method that reduces the number of experiments. Some of the measurements for the update of the input is omitted in the method, and as a result, the number of experiments is halved.

引用

页码：398 / 403

页数：6

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