Passivity analysis for delayed discontinuous neural networks

被引：3
|
作者：
Xiao, Jian [1 ,2 ]
Zeng, Zhigang [1 ,2 ]
Shen, Wenwen [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Hunan, Peoples R China
[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China
来源：
SOFT COMPUTING | 2013年 / 17卷 / 11期
基金：
高等学校博士学科点专项科研基金;
关键词：
Discontinuous neuron activation; Neural networks; Passivity; Differential inclusion; TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; ACTIVATION FUNCTIONS; CONVERGENCE; BEHAVIORS; SYSTEMS;
D O I：
10.1007/s00500-013-1076-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we have integrated the passivity of delayed neural networks with discontinuous activations which are unbounded. Based on differential inclusion theory and nonsmooth analysis, some sufficient conditions are presented by means of the generalized Lyapunov method. The results are established in form of linear matrix inequality. In addition, Some numerical examples are proposed to show the effectiveness of the developed results.
引用
收藏
页码：2033 / 2041
页数：9
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