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Finite-Time Synchronization for Fuzzy Delayed Neutral-Type Inertial Bam Neural Networks Via the Figure Analysis Approach
International Journal of Fuzzy Systems ( IF 4.3 ) Pub Date : 2021-08-22 , DOI: 10.1007/s40815-021-01132-8
Zheng Zhou 1 , Zhengqiu Zhang 2 , Mo Chen 2
Affiliation  

This paper focuses on the finite-time synchronization for fuzzy delayed neutral-type inertial BAM neural networks. Without making the variable transformation, the inertial system was analyzed directly. By applying integral inequality techniques and the figure analysis approach, some novel criteria are achieved to assure the finite-time synchronization between the drive system and the response system. The inequalities used in our paper are different from these in the existing papers. The figure analysis approach used to research finite-time synchronization in our paper is a completely novel study approach.



中文翻译:

基于图形分析方法的模糊延迟中性型惯性 Bam 神经网络的有限时间同步

本文重点研究模糊延迟中性型惯性 BAM 神经网络的有限时间同步。不做变量变换,直接分析惯性系。通过应用积分不等式技术和图形分析方法,实现了一些新颖的标准,以确保驱动系统和响应系统之间的有限时间同步。我们论文中使用的不等式与现有论文中的不等式不同。我们论文中用于研究有限时间同步的图形分析方法是一种全新的研究方法。

更新日期:2021-08-23
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