Finite-Time Synchronization Analysis for BAM Neural Networks with Time-Varying Delays by Applying the Maximum-Value Approach with New Inequalities

Zhen Yang and Zhengqiu Zhang ()
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Zhen Yang: Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao 266237, China

Mathematics, 2022, vol. 10, issue 5, 1-16

Abstract: In this paper, we consider the finite-time synchronization for drive-response BAM neural networks with time-varying delays. Instead of using the finite-time stability theorem and integral inequality method, by using the maximum-value method, two new criteria are obtained to ensure the finite-time synchronization for the considered drive-response systems. The inequalities in our paper, applied to obtaining the maximum-valued and designing the novel controllers, are different from those in existing papers.

Keywords: drive-response BAM neural networks with time-varying delays; finite-time synchronization; maximum-value approach; new inequalities (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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