Exponential stability of FCNNs with time-varying leakage delays and reaction diffusion terms

被引:3
|
作者
Jing, Ke [1 ]
机构
[1] Fuyang Normal Coll, Sch Math & Finance, Fuyang 236041, Anhui, Peoples R China
关键词
Fuzzy cellular neural networks; Global exponential stability; Time-varying leakage delays; Reaction-diffusion terms; CELLULAR NEURAL-NETWORKS; DIRICHLET BOUNDARY-CONDITIONS; DISCONTINUOUS ACTIVATIONS; ASYMPTOTIC STABILITY; PERIODIC-SOLUTIONS; BAM; SYNCHRONIZATION; DISSIPATIVITY; EXISTENCE; CRITERIA;
D O I
10.1016/j.neucom.2014.05.023
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 investigate the global exponential stability of fuzzy cellular neural networks with time-varying delays in the leakage terms and reaction-diffusion terms. By constructing a novel Lyapunov functional and applying inequality technique, we obtain some new sufficient conditions for the existence, uniqueness and global exponential stability of the equilibrium solution. Moreover, an numerical example is provided to demonstrate the feasibility of our method. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:363 / 368
页数:6
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