Fixed-time stabilization of impulsive Cohen–Grossberg BAM neural networks

H Li, C Li, T Huang, W Zhang - Neural Networks, 2018 - Elsevier
This article is concerned with the fixed-time stabilization for impulsive Cohen–Grossberg
BAM neural networks via two different controllers. By using a novel constructive approach …

Fixed-time stability of Cohen-Grossberg BAM neural networks with impulsive perturbations

MA Jamal, R Kumar, S Mukhopadhyay, OM Kwon - Neurocomputing, 2023 - Elsevier
This article concerns the problem of fixed-time stability (FXTS) of a Cohen-Grossberg
bidirectional associative memory neural network (CGBAMNN) with destabilizing impulsive …

Impact of leakage delay on bifurcation in high-order fractional BAM neural networks

C Huang, J Cao - Neural Networks, 2018 - Elsevier
The effects of leakage delay on the dynamics of neural networks with integer-order have
lately been received considerable attention. It has been confirmed that fractional neural …

Influence of multiple time delays on bifurcation of fractional-order neural networks

C Xu, M Liao, P Li, Y Guo, Q Xiao, S Yuan - Applied Mathematics and …, 2019 - Elsevier
In this article, on the basis of predecessors, works, we will propose a new fractional-order
neural network model with multiple delays. Letting two different delays be bifurcation …

Dynamic stability analysis of stochastic fractional-order memristor fuzzy BAM neural networks with delay and leakage terms

MS Ali, G Narayanan, V Shekher, H Alsulami… - Applied Mathematics …, 2020 - Elsevier
This paper deals with the uniform stability in mean square of stochastic fractional-order
memristor fuzzy BAM neural networks with delay and leakage terms. By employing the ideas …

New criteria on finite-time stability of fractional-order Hopfield neural networks with time delays

F Du, JG Lu - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
In this article, the finite-time stability (FTS) of fractional-order Hopfield neural networks with
time delays (FHNNTDs) is studied. A widely used inequality in investigating the stability of …

Further investigation on bifurcation and their control of fractional‐order bidirectional associative memory neural networks involving four neurons and multiple delays

C Xu, W Zhang, C Aouiti, Z Liu… - … Methods in the Applied …, 2023 - Wiley Online Library
This work principally probes into the stability, the existence, and control of Hopf bifurcation of
new established fractional‐order delayed bidirectional associative memory (BAM) neural …

Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays

C Huang, S Mo, J Cao - Cognitive Neurodynamics, 2024 - Springer
The dynamics of integer-order Cohen-Grossberg neural networks with time delays has lately
drawn tremendous attention. It reveals that fractional calculus plays a crucial role on …

Stability criteria for memristor-based delayed fractional-order Cohen–Grossberg neural networks with uncertainties

RV Aravind, P Balasubramaniam - Journal of Computational and Applied …, 2023 - Elsevier
This paper investigates the Mittag-Leffler (ML) stability analysis problem of memristor-based
fractional-order Cohen–Grossberg neural networks (MFCGNNs) with time delays and …

New approach to finite-time stability for fractional-order BAM neural networks with discrete and distributed delays

F Du, JG Lu - Chaos, Solitons & Fractals, 2021 - Elsevier
The finite-time stability (FTS) for fractional-order bidirectional associative memory neural
networks (FOBAMNNs) with discrete and distributed delays is investigated in this article …