Fixed-time stabilization of impulsive Cohen–Grossberg BAM neural networks
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 …
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
This article concerns the problem of fixed-time stability (FXTS) of a Cohen-Grossberg
bidirectional associative memory neural network (CGBAMNN) with destabilizing impulsive …
bidirectional associative memory neural network (CGBAMNN) with destabilizing impulsive …
Impact of leakage delay on bifurcation in high-order fractional BAM neural networks
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 …
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 …
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
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 …
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 …
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 …
new established fractional‐order delayed bidirectional associative memory (BAM) neural …
Detections of bifurcation in a fractional-order Cohen-Grossberg neural network with multiple delays
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 …
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 …
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 …
networks (FOBAMNNs) with discrete and distributed delays is investigated in this article …