Non-fragile synchronization of BAM neural networks with randomly occurring controller gain fluctuation-Reference-Cited by-同舟云学术

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

Published:2023 Issue:4 Volume:20 Page:7302-7315
ISSN:1551-0018
Container-title:Mathematical Biosciences and Engineering
language:
Short-container-title:MBE

Author:

Thakur Ganesh Kumar¹,Garg Sudesh Kumar²,Singh Tej¹,Ali M. Syed³,Arora Tarun Kumar¹

Affiliation:

1. Department of Applied sciences, ABES Engineering College, Ghaziabad, UP-201007, India

2. Department of Applied Science, G L BAJAJ Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

3. Department of Mathematics, Thiruvalluvar University, Vellore-632115, Tamilndau, Inida

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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