Adaptive Control Strategy for Projective Synchronization of Neural Networks

被引：0
|
作者：
Abdurahman, Abdujelil [1 ]
Hu, Cheng [1 ]
Muhammadhaji, Ahmadjan [1 ]
Jiang, Haijun [1 ]
机构：
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi, Xinjiang Uyghur, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS, PT I | 2017年 / 10261卷
关键词：
Neural network; Projective synchronization; Adaptive control; TIME-VARYING DELAYS; CHAOTIC SYSTEMS; LAG SYNCHRONIZATION;
D O I：
10.1007/978-3-319-59072-1_30
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 studied the projective synchronization of a type of chaotic neural networks (NNs) by introducing a novel adaptive control strategy. We obtained some useful sufficient criteria for the projective synchronization of considered networks via designing novel adaptive controller and introducing a suitable Lyapunov function. In addition, we gave a numerical example to validate the feasibility of the obtained results. It is worth to mention that the projective synchronization is a very general and it includes chaos stabilization, anti-synchronization and complete synchronization as its special cases.
引用
收藏
页码：253 / 260
页数：8
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