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
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
收藏
页码:39 / 58
页数:20
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