Global exponential synchronization of delayed fuzzy cellular neural networks with discontinuous activations

被引：15
作者：
Duan, Lian [1 ]
Fang, Xianwen [1 ]
Fu, Yujie [2 ]
机构：
[1] Anhui Univ Sci & Technol, Sch Math & Big Data, Huainan 232001, Anhui, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 2019年 / 10卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Fuzzy cellular neural network; Discontinuous activation; Global exponential synchronization; State feedback controller; Adaptive controller; FINITE-TIME SYNCHRONIZATION; STABILITY; CONVERGENCE;
D O I：
10.1007/s13042-017-0740-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is known that exponential synchronization can synchronize the response system and the drive system at a faster rate, and plays an important role in many fields such as secure communications. In this paper, we study the global exponential synchronization issue for delayed fuzzy cellular neural networks with discontinuous activations. By utilizing the discontinuous state feedback and adaptive control method and constructing Lyapunov functionals, some new and useful criteria of global exponential synchronization for the considered networks are established. The obtained criteria significantly generalize and improve recent works for delayed fuzzy neural networks with continuous activations. Finally, two examples with simulations are presented to show the effectiveness of the theoretical results.
引用
收藏
页码：579 / 589
页数：11
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