Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller

被引：75
|
作者：
Rakkiyappan, Rajan [1 ]
Dharani, Shanmugavel [1 ]
Cao, Jinde [2 ,3 ]
机构：
[1] Bharathiar Univ, Dept Math, Coimbatore 641046, Tamil Nadu, India
[2] Southeast Univ, Res Ctr Complex Syst & Network Sci, Dept Math, Nanjing 210096, Jiangsu, Peoples R China
[3] King Abdulaziz Univ, Fac Sci, Dept Math, Jeddah 21589, Saudi Arabia
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2015年 / 26卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Control packet loss; exponential synchronization; neural networks; stochastic sampled-data control; switched systems; FEEDBACK-CONTROL SYSTEMS; STABILITY ANALYSIS; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; CHAOTIC SYSTEMS; STABILIZATION; DISCRETE; DESIGN;
D O I：
10.1109/TNNLS.2015.2425881
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper addresses the problem of exponential synchronization of neural networks with time-varying delays. A sampled-data controller with stochastically varying sampling intervals is considered. The novelty of this paper lies in the fact that the control packet loss from the controller to the actuator is considered, which may occur in many real-world situations. Sufficient conditions for the exponential synchronization in the mean square sense are derived in terms of linear matrix inequalities (LMIs) by constructing a proper Lyapunov-Krasovskii functional that involves more information about the delay bounds and by employing some inequality techniques. Moreover, the obtained LMIs can be easily checked for their feasibility through any of the available MATLAB tool boxes. Numerical examples are provided to validate the theoretical results.
引用
收藏
页码：3215 / 3226
页数：12
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