In this paper, the global robust exponential stability problem for a class of uncertain inertial- type BAM neural networks with both time-varying delays is focused through Lagrange …
X Tian, R Xu, Q Gan - Applied Mathematics and Computation, 2015 - Elsevier
In this paper, a BAM neural network with multiple time delays and diffusion under homogeneous Neumann boundary conditions is investigated. By analyzing the …
F Wang, Y Yang, X Xu, L Li - Neural Computing and Applications, 2017 - Springer
In this paper, we study the global asymptotic stability of fractional-order BAM neural networks. We take both time delay and impulsive effects into consideration. Based on …
In this article, the problem of global exponential stability in Lagrange sense of neutral type complex‐valued neural networks (CVNNs) with delays is investigated. Two different classes …
W Yang, W Yu, J Cao - IEEE Transactions on Neural Networks …, 2017 - ieeexplore.ieee.org
This paper investigates the stability of equilibrium point and periodic solution for impulsive fuzzy high-order bidirectional associative memory neural networks with continuously …
In this epigrammatic, the problem of exponential stability for BAM-type neural networks (BAMNNs) with non-fragile state estimator is investigated under time-varying delays. The …
L Dami, A Benzaouia - Journal of Control, Automation and Electrical …, 2023 - Springer
A new type of two dimensional (2 D) fractional order switched systems modeled with the Roesser model is introduced. Sufficient conditions for the stabilization by state feedback …
This article addresses stability analysis of a general class of memristor‐based complex‐ valued recurrent neural networks (MCVNNs) with time delays. Some sufficient conditions to …
X Zhang, C Li, T Huang - Neural Networks, 2017 - Elsevier
We discuss the global stability of switching Hopfield neural networks (HNN) with state- dependent impulses using B-equivalence method. Under certain conditions, we show that …