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	Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks
	Luo, Jinnan1; Tian, Wenhong1,5; Zhong, Shouming2; Shi, Kaibo3; Wang, Wenqin4
	2018-08-01
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.
关键词	Non-fragile asynchronous control Bernoulli distribution Event-triggered scheme Randomly occurring uncertainties Switched neural networks
DOI	10.1016/j.nahs.2017.12.006
发表期刊	NONLINEAR ANALYSIS-HYBRID SYSTEMS
ISSN	1751-570X
卷号	29页码:54-73
收录类别	SCI
WOS记录号	WOS:000432734100004
语种	英语