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Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks

文献类型：期刊论文

作者Luo, Jinnan1; Tian, Wenhong1,5; Zhong, Shouming2; Shi, Kaibo3; Wang, Wenqin4
刊名NONLINEAR ANALYSIS-HYBRID SYSTEMS
出版日期2018-08-01
卷号29页码:54-73
关键词Non-fragile asynchronous control Bernoulli distribution Event-triggered scheme Randomly occurring uncertainties Switched neural networks
ISSN号1751-570X
DOI10.1016/j.nahs.2017.12.006
英文摘要This study constructs and investigates the non-fragile asynchronous event-triggered control for uncertain switched neural networks with communication delays and Bernoulli distribution. The system involves both the randomly occurring uncertainties of all parameters (ROUAPs) in the switched system model and randomly gain perturbations of the controller. By introducing several stochastic variables, a new model structure obeying Bernoulli distribution is formulated to describe the uncertainties of system and the controller. In addition, an improved non-fragile asynchronous event-triggered control scheme is proposed and a modified Lyapunov-Krasovskii function (LKF) is chosen via flexible terminal method (FTM) to deal with such uncertain switched systems with delays. By combining newly bounding inequalities and convex combination method, new results are presented for the uncertain delayed switched error systems in terms of linear matrix inequality (LMI). Furthermore, the non-fragile asynchronous event-triggered controller is designed with less communication burden. Finally, a numerical example is provided to verify the merits of the proposed results. (C) 2018 Elsevier Ltd. All rights reserved.
资助项目National Natural Science Foundation of China[61703060] ; National Natural Science Foundation of China[61533006] ; National Natural Science Foundation of China[61603272] ; National Natural Science Foundation of China[61273015] ; National Natural Science Foundation of China[11601474] ; National Natural Science Foundation of China[11461082] ; National Natural Science Foundation of China[61672136] ; National Natural Science Foundation of China[6167060383] ; National Natural Science Foundation of China[61650110513] ; Geomathematics Key Laboratory of Sichuan Province[scsxdz201704] ; China Scholarship Council (CSC)[[2017]3109] ; Xi Bu Zhi Guang[R51A150Z10] ; Youth Fund Project of Tianjin Natural Science Foundation[16JCQNJC03900] ; Sichuan Provincial Education Department[17ZB0459] ; Research fund for International Young Scientists of National Natural Science Foundation of China (NSFC)[61550110248]
WOS研究方向Automation & Control Systems ; Mathematics
语种英语
WOS记录号WOS:000432734100004
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.138/handle/2HOD01W0/6483]  
专题大数据挖掘及应用中心
通讯作者Shi, Kaibo
作者单位1.Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, 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.Tianjin Polytech Univ, Sch Sci, Tianjin 300130, Peoples R China
5.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
推荐引用方式
GB/T 7714		 Luo, Jinnan,Tian, Wenhong,Zhong, Shouming,et al. Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks[J]. NONLINEAR ANALYSIS-HYBRID SYSTEMS,2018,29:54-73.
APA Luo, Jinnan,Tian, Wenhong,Zhong, Shouming,Shi, Kaibo,&Wang, Wenqin.(2018).Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks.NONLINEAR ANALYSIS-HYBRID SYSTEMS,29,54-73.
MLA Luo, Jinnan,et al."Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks".NONLINEAR ANALYSIS-HYBRID SYSTEMS 29(2018):54-73.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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