Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field-Reference-Cited by-同舟云学术

Stability of discrete‐time fractional‐order time‐delayed neural networks in complex field

Published:2020-07-30 Issue:1 Volume:44 Page:419-440
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Pratap Anbalagan¹,Raja Ramachandran²,Cao Jinde³^ORCID,Huang Chuangxia⁴^ORCID,Niezabitowski Michal⁵^ORCID,Bagdasar Ovidiu⁶

Affiliation:

1. Department of Mathematics Alagappa University Karaikudi India

2. Ramanujan Centre for Higher Mathematics Alagappa University Karaikudi India

3. School of Mathematics Southeast University Nanjing China

4. Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, School of Mathematics and Statistics Changsha University of Science and Technology Changsha China

5. Faculty of Automatic Control, Electronics and Computer Science, Institute of Automatic Control, Control and Robotics Group Silesian University of Technology Gliwice Poland

6. Department of Electronics, Computing and Mathematics University of Derby Derby UK

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.6745

Reference70 articles.

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4. Almost periodicity in impulsive fractional‐order reaction‐diffusion neural networks with time‐varying delays;Cao J;IEEE Trans Cybern,2020

5. On the basins of attraction for a class of delay differential equations with non-monotone bistable nonlinearities

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