Delay-coupled fractional order complex Cohen-Grossberg neural networks under parameter uncertainty: Synchronization stability criteria
This paper inspects the issues of synchronization stability and robust synchronization stability for fractional order coupled complex interconnected Cohen-Grossberg neural networks under linear coupling delays. For investigation of synchronization stability results, the comparison theorem for multip...
Main Authors: | Pratap Anbalagan, Evren Hincal, Raja Ramachandran, Dumitru Baleanu, Jinde Cao, Chuangxia Huang, Michal Niezabitowski |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2021-01-01
|
Series: | AIMS Mathematics |
Subjects: | |
Online Access: | http://www.aimspress.com/article/doi/10.3934/math.2021172?viewType=HTML |
Similar Items
-
Parameter identification based on finite-time synchronization for Cohen–Grossberg neural networks with time-varying delays
by: Abdujelil Abdurahman, et al.
Published: (2015-07-01) -
Exponential Synchronization of Cohen-Grossberg Neural Networks With Delays
by: Juncao Huang, et al.
Published: (2023-01-01) -
Novel Lagrange sense exponential stability criteria for time-delayed stochastic Cohen–Grossberg neural networks with Markovian jump parameters: A graph-theoretic approach
by: Iswarya Manickam, et al.
Published: (2020-09-01) -
New criteria on global Mittag-Leffler synchronization for Caputo-type delayed Cohen-Grossberg Inertial Neural Networks
by: Hongmei Zhang, et al.
Published: (2023-10-01) -
Finite-Time and Fixed-Time Synchronization of Memristor-Based Cohen–Grossberg Neural Networks via a Unified Control Strategy
by: Mei Liu, et al.
Published: (2025-02-01)