New insights on stability of sampled-data systems with time-delay

被引：107
|
作者：
Zeng, Hong-Bing [1 ]
Zhai, Zheng-Liang [1 ]
He, Yong [2 ]
Teo, Kok-Lay [3 ,4 ]
Wang, Wei [1 ]
机构：
[1] Hunan Univ Technol, Coll Elect & Informat Engn, Zhuzhou 412007, Peoples R China
[2] China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China
[3] Curtin Univ, Sch Elect Engn Comp & Math Sci, Perth, WA 6102, Australia
[4] Tianjin Univ Finance & Econ, Coordinated Innovat Ctr Computable Modeling Manag, Tianjin 300222, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2020年 / 374卷 / 374期
基金：
中国国家自然科学基金;
关键词：
Stability; Sampled-data control; Time-delay; Looped-functional; INFINITY STATE ESTIMATION; LINEAR-SYSTEMS; NEURAL-NETWORKS; VARYING STATE; STABILIZATION; SYNCHRONIZATION; INEQUALITY; CONSTANT;
D O I：
10.1016/j.amc.2020.125041
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper analyses the stability of sampled-data systems with time-delay. By employing a two-sided looped-functional approach, some improved conditions are derived to guarantee the stability of the system under consideration. Then, based the conditions, some intrinsic relationships between sampled-data period and time delay are obtained. From the illustrative example being solved by the proposed approach, it is observed that the results obtained are significantly better than those obtained by existing methods. More importantly, from the simulation being carried out, it is discovered that, contrary to the findings in previous studies, time-delays in a system may enlarge the interval of sampled-data periods and accelerate the rate of convergence of the system states, rather than deteriorate the system performance. (C) 2020 Elsevier Inc. All rights reserved.
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页数：11
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