Data-driven estimation of the lower bounds of gain and phase margins

被引：2
|
作者：
Isoshima, Koto [1 ]
Tanemura, Masaya [2 ]
Chida, Yuichi [2 ]
机构：
[1] Shinshu Univ, Grad Sch Sci & Technol, Nagano 3808553, Japan
[2] Shinshu Univ, Fac Engn, Nagano 3808553, Japan
来源：
AUTOMATICA | 2023年 / 153卷
关键词：
Estimation; Gain margins; Phase margins; Data sets; Linear systems; SYSTEMS; CONTROLLERS; PASSIVITY;
D O I：
10.1016/j.automatica.2023.111008
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 paper, a data-driven method is proposed to estimate lower bounds of the gain and phase margins without the mathematical model of a plant. To estimate the stability margins, which are defined in the frequency domain, using input/output data, we describe lower bounds in the time domain. Then, we formulate an optimization problem to estimate a lower bound of each stability margin and propose an iterative data-driven algorithm to solve this problem. (c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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页数：10
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