Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques

LIN Feng · ZHANG Zhengqiu

系统科学与复杂性(英文) ›› 2020, Vol. 33 ›› Issue (2) : 366-382.

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PDF(470 KB)
系统科学与复杂性(英文) ›› 2020, Vol. 33 ›› Issue (2) : 366-382. DOI: 10.1007/s11424-019-8121-4

Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques

    LIN Feng · ZHANG Zhengqiu
作者信息 +

Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques

    LIN Feng · ZHANG Zhengqiu
Author information +
文章历史 +

Abstract

In this paper, the authors are concerned with global asymptotic synchronization for a class of BAM neural networks with time delays. Instead of using Lyapunov functional method, LMI method and matrix measure method which are recently widely applied to investigating global exponential/ asymptotic synchronization for neural networks, two novel sufficient conditions on global asymptotic synchronization of above BAM neural networks are established by using a kind of new study method of global synchronization: Integrating inequality techniques. The method and results extend the study of global synchronization of neural networks.

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LIN Feng · ZHANG Zhengqiu. Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques. 系统科学与复杂性(英文), 2020, 33(2): 366-382 https://doi.org/10.1007/s11424-019-8121-4
LIN Feng · ZHANG Zhengqiu. Global Asymptotic Synchronization of a Class of BAM Neural Networks with Time Delays via Integrating Inequality Techniques. Journal of Systems Science and Complexity, 2020, 33(2): 366-382 https://doi.org/10.1007/s11424-019-8121-4
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