On Memristor-Based Impulsive Neural Networks with Time-Delay

被引：0
|
作者：
Hu, Bin [1 ]
Guan, Zhi-Hong [1 ]
Liu, Zhi-Wei [1 ]
Jiang, Xiao-Wei [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Coll Automat, Wuhan 430074, Hubei, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
基金：
中国国家自然科学基金;
关键词：
Neural networks; impulse; memristor; synchronization; time-delay; SYNCHRONIZATION CONTROL; CONSENSUS; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies a group of interconnected memristor-based impulsive neural networks (MINNs) with time-delay and its synchronization mechanism. Due to the impulsive and switching mode, interconnected MINNs are mathematically elaborated in the form of impulsive differential inclusions. Based on theories of Lyapunov functions and impulsive differential equations, asymptotic convergence of synchronization is evaluated for the interconnected MINNs, where the relationship of impulse to convergence rate are specified. It is shown that in addition to the Laplacian coupling, the impulse plays an essential role in the pursuit of synchronization. Simulation work is provided to verify the developed theoretical results.
引用
收藏
页码：4748 / 4753
页数：6
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