A delay‐dependent asymptotic stability criteria for uncertain BAM neural networks with leakage and discrete time‐varying delays: A novel summation inequality-Reference-Cited by-同舟云学术

A delay‐dependent asymptotic stability criteria for uncertain BAM neural networks with leakage and discrete time‐varying delays: A novel summation inequality

Published:2019-12-19 Issue:5 Volume:22 Page:1880-1891
ISSN:1561-8625
Container-title:Asian Journal of Control
language:en
Short-container-title:Asian J Control

Author:

Sowmiya Chandran¹,Raja Ramachandran²,Cao Jinde³^ORCID,Rajchakit Grienggrai⁴,Alsaedi Ahmed⁵

Affiliation:

1. Department of Mathematics V.S.B. Engineering College Karur India

2. Ramanujan Centre for Higher Mathematics Alagappa University Karaikudi India

3. School of Mathematics Southeast University Nanjing China

4. Department of Mathematics, Faculty of Science Maejo University Chiang Mai Thailand

5. Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics, Faculty of Science King Abdulaziz University Jeddah Saudi Arabia

Funder

Thailand Research Fund

Publisher

Wiley

Subject

Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asjc.2184

Reference42 articles.

1. Fixed-time synchronization of delayed memristor-based recurrent neural networks

2. Stability of nonlinear differential systems with state-dependent delayed impulses

3. Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances

4. Less conservative stability criteria for stochastic discrete-time recurrent neural networks with the time-varying delay

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