A new perspective on fuzzy control of the stochastic T-S fuzzy systems with sampled-data

被引：0
|
作者：
Shuqi LI [1 ]
Feiqi DENG [1 ]
Xueyan ZHAO [1 ]
机构：
[1] Systems Engineering Institute,South China University of Technology
来源：
Science China(Information Sciences) | 2019年 / 62卷 / 10期
基金：
中国国家自然科学基金;
关键词：
A new perspective on fuzzy control of the stochastic T-S fuzzy systems with sampled-data;
D O I：
暂无
中图分类号：
O231 [控制论（控制论的数学理论）];
学科分类号：
070105 ; 0711 ; 071101 ; 0811 ; 081101 ;
摘要：
Dear editor,In the past several decades, stability analysis and synthesis of It? stochastic systems have gradually become the important areas of focus owing to their applications in many real-world systems, such as nuclear, thermal, chemical process, biological, socioeconomic, and immunological systems [1–5]. In addition, nonlinearities exist in real plants, which always have more complex analyses than general linear systems. Moreover, the Takagi-Sugeno(TS) fuzzy systems, which are described by a set
引用
收藏
页码：203 / 205
页数：3
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