Existence and Stability of Pseudo Almost Periodic Solution for Neutral Type High-Order Hopfield Neural Networks with Delays in Leakage Terms on Time Scales

被引:17
|
作者
Li, Yongkun [1 ]
Yang, Li [2 ]
Li, Bing [1 ]
机构
[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China
[2] Yunnan Univ Finance & Econ, Sch Math & Stat, Kunming 650221, Yunnan, Peoples R China
关键词
Pseudo almost periodic solution; High-order Hopfield neural networks; Exponential stability; Time scales; GLOBAL EXPONENTIAL STABILITY; VARYING DELAYS; ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS;
D O I
10.1007/s11063-015-9483-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Using the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, we obtain some sufficient conditions for the existence and global exponential stability of pseudo almost periodic solutions for a class of neutral type high-order Hopfield neural networks with delays in leakage terms on time scales. Our results show that the continuous-time neural network and its discrete-time analogue have the same dynamical behaviors. Finally, we give a numerical example and simulation to illustrate the feasibility of our results. Results of this paper are completely new even if the time scale or .
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页码:603 / 623
页数:21
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