Analysis and adaptive control for lag H∞ synchronization of coupled reaction-diffusion neural networks

被引：19
作者：
Wang, Qing [1 ]
Wang, Jin-Liang [1 ,2 ]
Ren, Shun-Yan [3 ]
Huang, Yan-Li [1 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China
[3] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China
来源：
NEUROCOMPUTING | 2018年 / 319卷
基金：
中国国家自然科学基金;
关键词：
Lag H-infinity synchronization; Coupled reaction-diffusion neural networks; State coupling; Spatial diffusion coupling; Adaptive control; TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; PASSIVITY; SYSTEMS; TERMS; ARRAY;
D O I：
10.1016/j.neucom.2018.08.058
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 respectively discuss the lag H-infinity synchronization of coupled reaction-diffusion neural networks with state coupling and spatial diffusion coupling. Based on the inequality techniques and Lyapunov functional method, some lag H-infinity synchronization criteria for these two coupled reaction-diffusion neural networks are obtained by exploiting the designed state feedback controllers. Furthermore, two adaptive strategies for ensuring the lag H-infinity synchronization of coupled reaction-diffusion neural networks with state coupling and spatial diffusion coupling are also developed. Finally, the effectiveness of the proposed lag H-infinity synchronization criteria is verified by two numerical examples. (c) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：144 / 154
页数：11
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