Novel stability criterions for two types of recurrent neural networks with time-varying delays

doi:10.2316/Journal.201.2014.3.201-2510

CORC > 北京大学 > 工学院

	Novel stability criterions for two types of recurrent neural networks with time-varying delays
	Luo, Wenguang ; Liu, Yonghua ; Xie, Guangming ; Lan, Hongli
刊名	control and intelligent systems
	2014
DOI	10.2316/Journal.201.2014.3.201-2510
英文摘要	This paper discusses the stability problems about two types of recurrent neural networks (RNNs) with time-varying delays. By applying the linear matrix inequality (LMI) and Lyapunov-Krasovskii functional (LKF), the novel sufficient condition of globally exponential stability for RNNs with time-varying discrete and distributed delays is derived under the condition of the more general activation function. The new mean-square global asymptotic stability criterion for stochastic fuzzy cellular neural networks (SFCNNs) with timevarying delays is also derived by constructing a new LKF and using Ito's stochastic stability theory. The obtained results are helpful to design the stability of above two systems. Finally, some illustrative examples are given to verify the feasibility and effectiveness of the results.; EI; 0; 3; 191-200; 42
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/327918]
专题	工学院
推荐引用方式 GB/T 7714	Luo, Wenguang,Liu, Yonghua,Xie, Guangming,et al. Novel stability criterions for two types of recurrent neural networks with time-varying delays[J]. control and intelligent systems,2014.
APA	Luo, Wenguang,Liu, Yonghua,Xie, Guangming,&Lan, Hongli.(2014).Novel stability criterions for two types of recurrent neural networks with time-varying delays.control and intelligent systems.
MLA	Luo, Wenguang,et al."Novel stability criterions for two types of recurrent neural networks with time-varying delays".control and intelligent systems (2014).