Non-fragile synchronization of BAM neural networks with randomly occurring controller gain fluctuation

被引：2

作者：

Thakur, Ganesh Kumar ^{[1
]}

Garg, Sudesh Kumar ^{[2
]}

Singh, Tej ^{[1
]}

Ali, M. Syed ^{[3
]}

Arora, Tarun Kumar ^{[1
]}

机构：

[1] ABES Engn Coll, Dept Appl Sci, Ghaziabad 201007, Uttar Pradesh, India

[2] GL BAJAJ Inst Technol & Management, Dept Appl Sci, Greater Noida, Uttar Pradesh, India

[3] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamilndau, India

来源：

MATHEMATICAL BIOSCIENCES AND ENGINEERING | 2023年 / 20卷 / 04期

关键词：

non-fragile control; BAM neural network; time-varying delay; synchronization; GLOBAL EXPONENTIAL STABILITY; H-INFINITY CONTROL; OCCURRING UNCERTAINTIES; ROBUST SYNCHRONIZATION; ASYMPTOTIC STABILITY; NEUTRAL-TYPE; TIME; DELAY; INTERVAL; CRITERIA;

D O I：

10.3934/mbe.2023317

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this research, a non-fragile synchronization of bidirectional association memory (BAM) delayed neural networks is taken into consideration. The controller gain fluctuation seems in a very random manner, that obeys sure Bernoulli distributed noise sequences. Delay dependent criteria are derived to confirm the asymptotic stability of the BAM delayed neural networks. The non-fragile controller are often obtained by determination a collection of linear matrix inequalities (LMIs). A simulation example is used to demonstrate the efficiency of the developed control.

引用

页码：7302 / 7315

页数：14

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