Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties
Q Song, Y Chen, Z Zhao, Y Liu, FE Alsaadi - Neurocomputing, 2021 - Elsevier
This paper focuses on the robust stability analysis of fractional-order quaternion-valued
neural networks (FOQVNNs) with neutral delay and parameter uncertainties. Without …
neural networks (FOQVNNs) with neutral delay and parameter uncertainties. Without …
Global stability analysis of fractional-order quaternion-valued bidirectional associative memory neural networks
U Humphries, G Rajchakit, P Kaewmesri, P Chanthorn… - Mathematics, 2020 - mdpi.com
We study the global asymptotic stability problem with respect to the fractional-order
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …
Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays
This article explores the exponential stability problem of complex-valued bidirectional
associative memory (BAM) neural networks with time delays. This analysis is on the basis of …
associative memory (BAM) neural networks with time delays. This analysis is on the basis of …
Stability criteria of quaternion-valued neutral-type delayed neural networks
Q Song, L Long, Z Zhao, Y Liu, FE Alsaadi - Neurocomputing, 2020 - Elsevier
Stability problem of quaternion-valued neutral-type delayed neural networks (QVNTDNNs)
is researched in this paper. By utilizing homeomorphism principle, matrix inequality …
is researched in this paper. By utilizing homeomorphism principle, matrix inequality …
Dynamic behaviours for semi-discrete stochastic Cohen-Grossberg neural networks with time delays
T Zhang, S Han, J Zhou - Journal of the Franklin Institute, 2020 - Elsevier
By using semi-discretization technique, a discrete analogue of stochastic Cohen-Grossberg
neural networks is formulated. Firstly, the existence of pth mean almost periodic sequence …
neural networks is formulated. Firstly, the existence of pth mean almost periodic sequence …
Lagrange exponential stability of complex-valued BAM neural networks with time-varying delays
This paper is concerned with the Lagrange exponential stability problem of complex-valued
bidirectional associative memory neural networks with time-varying delays. On the basis of …
bidirectional associative memory neural networks with time-varying delays. On the basis of …
Event-triggered stabilization for Takagi–Sugeno fuzzy complex-valued memristive neural networks with mixed time-varying delays
X Li, T Huang, JA Fang - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
This article is devoted to solving the event-triggered stabilization problem of a new type of
Takagi-Sugeno fuzzy complex-valued memristive neural networks with mixed time-varying …
Takagi-Sugeno fuzzy complex-valued memristive neural networks with mixed time-varying …
Global µ-stability of neutral-type impulsive complex-valued BAM neural networks with leakage delay and unbounded time-varying delays
CA Popa - Neurocomputing, 2020 - Elsevier
This paper investigates the existence and uniqueness of the equilibrium point and its global
µ-stability for neutral-type impulsive complex-valued bidirectional associative memory …
µ-stability for neutral-type impulsive complex-valued bidirectional associative memory …
Event-triggered state estimation for fractional-order neural networks
B Xu, B Li - Mathematics, 2022 - mdpi.com
This paper is concerned with the problem of event-triggered state estimation for a class of
fractional-order neural networks. An event-triggering strategy is proposed to reduce the …
fractional-order neural networks. An event-triggering strategy is proposed to reduce the …
Pattern Formation in a Reaction-Diffusion BAM Neural Network With Time Delay: (k1, k2) Mode Hopf-Zero Bifurcation Case
This article investigates the joint effects of connection weight and time delay on pattern
formation for a delayed reaction-diffusion BAM neural network (RDBAMNN) with Neumann …
formation for a delayed reaction-diffusion BAM neural network (RDBAMNN) with Neumann …