Stabilization analysis for fuzzy systems with a switched sampled-data control

被引：72

作者：

Luo, Jinnan ^{[1
,2
]}

Li, Mengling ^{[2
,3
]}

Liu, Xinzhi ^{[2
]}

Tian, Wenhong ^{[1
,4
]}

Zhong, Shouming ^{[5
]}

Shi, Kaibo ^{[6
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Peoples R China

[2] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada

[3] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Peoples R China

[4] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China

[5] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Peoples R China

[6] Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 01期

基金：

中国国家自然科学基金; 加拿大自然科学与工程研究理事会;

关键词：

NONLINEAR-SYSTEMS; CHAOTIC SYSTEMS; STABILITY;

D O I：

10.1016/j.jfranklin.2019.09.029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study focuses on the stabilization analysis for fuzzy systems with the switched sampled-data control. By utilizing the information of the membership functions, an improved time-dependent and fuzzy-membership-function-dependent Lyapunov-Krasovskii functional (LKF) is constructed to commendably capture the available information related to the real sampling pattern. Together with a switching idea and newly inequalities, further results with less conservativeness are established to ensure that the switched sampled-data control stabilizes the fuzzy systems. Moreover, the switched sampled-data controllers are devised with a larger sampling interval. Finally, the effectiveness of the presented criteria is verified by two examples. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：39 / 58

页数：20

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