The boundedness of high-order Hopfield neural networks with variable delays

被引：9
|
作者：
Hu, Hongxiao [1 ]
Jiang, Haijun [2 ]
Teng, Zhidong [2 ]
机构：
[1] Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
[2] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Xinjiang, Peoples R China
来源：
NEUROCOMPUTING | 2010年 / 73卷 / 13-15期
关键词：
Neural networks; High-order; Uniformly ultimately boundedness; GLOBAL ASYMPTOTIC STABILITY; TIME-VARYING DELAYS; EXPONENTIAL STABILITY; PERIODIC-SOLUTIONS; COEFFICIENTS; DISSIPATIVITY;
D O I：
10.1016/j.neucom.2010.05.014
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, the uniformly boundedness and uniformly ultimately boundedness of high-order neural networks with time-varying delays are studied. Proper Lyapunov functionals and some analytic techniques are employed to derive the sufficient conditions under which the networks proposed are uniformly bounded and uniformly ultimately bounded. The results are shown to improve the results derived in [1] (Arik, 2004). Some examples are given to illustrate the correctness of our results. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：2589 / 2596
页数：8
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