Non-fragile asynchronous reliable sampled-data control for uncertain fuzzy systems with Bernoulli distribution

doi:10.1016/j.jfranklin.2019.10.022

	Non-fragile asynchronous reliable sampled-data control for uncertain fuzzy systems with Bernoulli distribution
	Luo, Jinnan 5; Tian, Wenhong 1,5; Zhong, Shouming 2; Shi, Kaibo 3; Liao, Daixi 4
刊名	JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
	2020-04-01
卷号	357 期号:6 页码:3235-3266
ISSN号	0016-0032
DOI	10.1016/j.jfranklin.2019.10.022
通讯作者	Luo, Jinnan(tian_wenhong@uestc.edu.cn)
英文摘要	In this study, the non-fragile asynchronous reliable sampled-data control for uncertain Takagi-Sugeno fuzzy systems with Bernoulli distribution is addressed. The system involves both the randomly occurring uncertainties of parameters in the fuzzy system model and randomly occurring gain perturbations of the controller. By introducing three stochastic variables, a new model structure satisfying Bernoulli distribution is formulated to describe the system and the controller. The main purpose of this study is to design the non-fragile asynchronous reliable sampled-data controller such that the considered system is finite-time bounded and possesses finite-time mixed H-infinity and passive performance. Based on an improved Lyapunov-Krasovskii functional, newly bounding inequalities and stochastic processing method, new conditions satisfying the required result are derived for the uncertain fuzzy systems in terms of linear matrix inequalities. Moreover, a modified non-fragile asynchronous reliable sampled-data controller is designed. Finally, two numerical examples are given to demonstrate the effectiveness of the presented results. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
资助项目	National Natural Science Foundation of China[61703060] ; National Natural Science Foundation of China[61672136] ; National Natural Science Foundation of China[6167060383] ; National Natural Science Foundation of China[61650110513] ; National Natural Science Foundation of China[61533006] ; National Natural Science Foundation of China[61603272] ; National Natural Science Foundation of China[11461082] ; National Natural Science Foundation of China[61550110248] ; National Natural Science Foundation of China[11601474] ; China Scholarship Council (CSC) ; Science and Technology Plan of Sichuan Province[2016GZ0322] ; NSERC Canada ; [R51A150Z10]
WOS研究方向	Automation & Control Systems ; Engineering ; Mathematics
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000534046700006
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/11120]
专题	中国科学院重庆绿色智能技术研究院
通讯作者	Luo, Jinnan
作者单位	1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China 3.Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Sichuan, Peoples R China 4.Hunan Inst Technol, Sch Math Sci & Energy Engn, Hengyang 421002, Peoples R China 5.Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Luo, Jinnan,Tian, Wenhong,Zhong, Shouming,et al. Non-fragile asynchronous reliable sampled-data control for uncertain fuzzy systems with Bernoulli distribution[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2020,357(6):3235-3266.
APA	Luo, Jinnan,Tian, Wenhong,Zhong, Shouming,Shi, Kaibo,&Liao, Daixi.(2020).Non-fragile asynchronous reliable sampled-data control for uncertain fuzzy systems with Bernoulli distribution.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,357(6),3235-3266.
MLA	Luo, Jinnan,et al."Non-fragile asynchronous reliable sampled-data control for uncertain fuzzy systems with Bernoulli distribution".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 357.6(2020):3235-3266.