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题名Stability analysis of sampled-data systems via novel Lyapunov functional method
作者
发表日期2022-03-01
发表期刊Information Sciences
ISSN/eISSN0020-0255
卷号585页码:559-570
摘要

This study focuses on the stability analysis of sampled-data systems. The idea is to propose a novel Lyapunov functional method using a new framework. In the functional method, the new discontinuous term satisfying V(t)⩾0 and V(t)=0 or V(t)=0 and V(t)≤0 is different from and further extends existing methods; the common term V(t)=x(t)Px(t) has a more relaxed condition than the positive definiteness generally required in the literature. Based on this method, a series of stability criteria in terms of linear matrix inequalities (LMIs) are obtained and demonstrated to be theoretically less conservative than some recent results. Finally, two numerical examples are provided to show the effectiveness and advantages of our results compared with those of previous studies.

关键词Discontinuous Lyapunov approach Lyapunov functional framework Sampled-data systems Stability analysis
DOI10.1016/j.ins.2021.11.071
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems
WOS记录号WOS:000768253000010
Scopus入藏号2-s2.0-85120608448
引用统计
被引频次:20[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/8156
专题理工科技学院
通讯作者Lin, Chong
作者单位
1.Institute of Complexity Science,Shandong Key Laboratory of Industrial Control Technology,School of Automation,Qingdao University,Qingdao,266071,China
2.Beijing Normal University at Zhuhai,China
3.BNU-HKBU United International College,Zhuhai,519087,China
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GB/T 7714
Sheng, Zhaoliang,Lin, Chong,Chen, Binget al. Stability analysis of sampled-data systems via novel Lyapunov functional method[J]. Information Sciences, 2022, 585: 559-570.
APA Sheng, Zhaoliang, Lin, Chong, Chen, Bing, & Wang, Qingguo. (2022). Stability analysis of sampled-data systems via novel Lyapunov functional method. Information Sciences, 585, 559-570.
MLA Sheng, Zhaoliang,et al."Stability analysis of sampled-data systems via novel Lyapunov functional method". Information Sciences 585(2022): 559-570.
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