Multistability of HNNs with almost periodic stimuli and continuously distributed delays

被引:13
|
作者
Huang, Zhenkun [1 ]
Mohamad, Sannay [2 ]
Bin, Honghua [1 ]
机构
[1] Jimei Univ, Sch Sci, Xiamen 361021, Peoples R China
[2] Univ Brunei Darussalam, Dept Math, Fac Sci, BE-1410 Gadong, Brunei
关键词
asymptotic stability; neural networks; Lyapunov methods; periodic systems; convergence; CELLULAR NEURAL-NETWORKS; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; SEQUENCE SOLUTION; ATTRACTIVITY; EXISTENCE; DISCRETE; CONVERGENCE; NEURONS;
D O I
10.1080/00207720902755754
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we investigate multistability of Hopfield neural networks (HNNs) with almost periodic stimuli and continuously distributed delays. By employing the theory of exponential dichotomy and Schauder's fixed point theorem, sufficient conditions are gained for the existence of 2N almost periodic solutions which lie in invariant regions. Meanwhile, we derive some new criteria for the networks to converge toward these 2N almost periodic solutions and the domain of attraction is also given. The obtained results are new, general and improve corresponding results existing in previous literature.
引用
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页码:615 / 625
页数:11
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