Robust Stabilization of Linear Plants Under Uncertainties and High-Frequency Measurement Noises

被引：0
|
作者：
Furtat, Igor B. [1 ]
Nekhoroshikh, Artem N. [2 ]
机构：
[1] ITMO Univ, Russian Acad Sci, Inst Problems Mech Engn, St Petersburg, Russia
[2] ITMO Univ, St Petersburg, Russia
来源：
2017 25TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2017年
基金：
俄罗斯科学基金会; 俄罗斯基础研究基金会;
关键词：
HIGH-GAIN OBSERVERS; FEEDBACK;
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：
The paper describes the robust algorithm for linear time-invariant plants under parametric uncertainties, external disturbances and high-frequency noises in measurements. The proposed algorithm allows one to reduce the noise impact on the output variable of the plant and to compensate parametric uncertainties and external disturbances independently. The modeling results illustrate the effectiveness of the algorithm.
引用
收藏
页码：1275 / 1280
页数：6
相关论文
共 50 条
12345