Further results on input-to-state stability of stochastic Cohen–Grossberg BAM neural networks with probabilistic time-varying delays

A Chandrasekar, T Radhika, Q Zhu - Neural Processing Letters, 2022 - Springer
In this article, the problem of stochastic Cohen–Grossberg Bidirectional Associative Memory
(CGBAM) neural networks with probabilistic time-varying delay is analyzed by input-to-state …

Global dissipativity of quaternion-valued fuzzy cellular fractional-order neural networks with time delays

C Aouiti, F Touati - Neural Processing Letters, 2023 - Springer
This article deals with the global dissipativity of Quaternion-Valued Fuzzy Cellular Fractional-
Order Neural Networks (QVFCFONNs). The model is solved by separating it into four real …

Novel methods of finite-time synchronization of fractional-order delayed memristor-based Cohen–Grossberg neural networks

F Du, JG Lu - Nonlinear Dynamics, 2023 - Springer
This paper aims to study the finite-time synchronization (FTS) of fractional-order delayed
memristor-based Cohen–Grossberg neural networks (FODMCGNNs). Firstly, on the basis of …

New results on finite/fixed-time stabilization of stochastic second-order neutral-type neural networks with mixed delays

C Aouiti, H Jallouli, Q Zhu, T Huang, K Shi - Neural Processing Letters, 2022 - Springer
This paper states with the objective of investigating the finite-time stabilization and fixed-time
stabilization analysis for stochastic second-order neutral-type neural networks with mixed …

BESICOVITCH ALMOST PERIODIC STOCHASTIC PROCESSES AND ALMOST PERIODIC SOLUTIONS OF CLIFFORD-VALUED STOCHASTIC NEURAL …

Y Li, X Wang - … & Continuous Dynamical Systems-Series B, 2023 - search.ebscohost.com
In this paper, to begin with, we introduce the concept of Besicovitch almost periodic
stochastic processes in distribution sense and study the relationship between it and the …

Impulsive control via variable impulsive perturbations on a generalized robust stability for Cohen–Grossberg neural networks with mixed delays

J Cao, T Stamov, S Sotirov, E Sotirova… - IEEE Access, 2020 - ieeexplore.ieee.org
Cohen-Grossberg neural networks with delays provide a very powerful tool in the study of
information processing, parallel computation, pattern recognition and solving of optimization …

The Stabilization of Cohen-Grossberg BAM Neural Network System

P Guo, Y Cao, X Liu - 2024 IEEE 18th International Conference …, 2024 - ieeexplore.ieee.org
This paper investigates the stabilization problem of a class of Cohen Grossberg BAM neural
network with time-varying delays. Instead of using matrix measure methods, linear matrix …

Linkage-constraint criteria for robust exponential stability of nonlinear BAM system with derivative contraction coefficients and piecewise constant arguments

W Si, S Gao, F Yan, N Zhao, H Zhang, H Dong - Information Sciences, 2022 - Elsevier
This paper presents linkage-constraint criteria to guarantee the robustness of global
exponential stability (RoGES) for a class of generalized nonlinear bidirectional associative …

Novel adaptive boundary control for synchronization of fractional fuzzy Cohen-Grossberg BAM neural networks with reaction-diffusion and time-varying delay

V Gokulakrishnan, R Srinivasan - International Journal of …, 2024 - Taylor & Francis
The boundary synchronization problem for a class of fractional fuzzy Cohen-Grossberg BAM
neural networks (FFCGBAMNNs) with reaction-diffusion and time-varying delay is studied …

[HTML][HTML] Existence and exponential stability of a periodic solution of an infinite delay differential system with applications to Cohen–Grossberg neural networks

A Elmwafy, JJ Oliveira, CM Silva - Communications in Nonlinear Science …, 2024 - Elsevier
In the present paper, we investigate both the global exponential stability and the existence of
a periodic solution of a general differential equation with unbounded distributed delays. The …