Mittag‐Leffler stability and adaptive impulsive synchronization of fractional order neural networks in quaternion field-Reference-Cited by-同舟云学术

Mittag‐Leffler stability and adaptive impulsive synchronization of fractional order neural networks in quaternion field

Published:2020-04-16 Issue:10 Volume:43 Page:6223-6253
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,Alzabut Jehad³^ORCID,Cao Jinde⁴^ORCID,Rajchakit Grienggrai⁵,Huang Chuangxia⁶^ORCID

Affiliation:

1. Department of MathematicsVel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College Avadi India

2. Ramanujan Centre for Higher MathematicsAlagappa University Karaikudi India

3. Department of Mathematics and General SciencesPrince Sultan University Riyadh Saudi Arabia

4. School of MathematicsSoutheast University Nanjing China

5. Department of MathematicsMaejo University Chiangmai Thailand

6. School of Mathematics and StatisticsHunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology Changsha China

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.6367

Reference50 articles.

1. Robust Synchronization of Fractional-Order Uncertain Chaotic Systems Based on Output Feedback Sliding Mode Control

2. Hybrid Control Scheme for Projective Lag Synchronization of Riemann–Liouville Sense Fractional Order Memristive BAM NeuralNetworks with Mixed Delays

3. Almost Periodicity in Impulsive Fractional-Order Reaction–Diffusion Neural Networks With Time-Varying Delays

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

5. Existence and global attractivity of almost periodic solutions for a delayed differential neoclassical growth model

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