Stability analysis of discrete-time neural networks with time-varying delay via an extended reciprocally convex matrix inequality

CK Zhang, Y He, L Jiang, QG Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper is concerned with the stability analysis of discrete-time neural networks with a
time-varying delay. Assessment of the effect of time delays on system stability requires …

Stability and dissipativity analysis of static neural networks with time delay

ZG Wu, J Lam, H Su, J Chu - IEEE Transactions on Neural …, 2011 - ieeexplore.ieee.org
This paper is concerned with the problems of stability and dissipativity analysis for static
neural networks (NNs) with time delay. Some improved delay-dependent stability criteria are …

Resilient fault-tolerant anti-synchronization for stochastic delayed reaction–diffusion neural networks with semi-Markov jump parameters

J Zhou, Y Liu, J Xia, Z Wang, S Arik - Neural Networks, 2020 - Elsevier
This paper deals with the anti-synchronization issue for stochastic delayed reaction–
diffusion neural networks subject to semi-Markov jump parameters. A resilient fault-tolerant …

Stability analysis of distributed delay neural networks based on relaxed Lyapunov–Krasovskii functionals

B Zhang, J Lam, S Xu - IEEE Transactions on Neural Networks …, 2014 - ieeexplore.ieee.org
This paper revisits the problem of asymptotic stability analysis for neural networks with
distributed delays. The distributed delays are assumed to be constant and prescribed. Since …

Further mean-square asymptotic stability of impulsive discrete-time stochastic BAM neural networks with Markovian jumping and multiple time-varying delays

C Sowmiya, R Raja, Q Zhu, G Rajchakit - Journal of the Franklin Institute, 2019 - Elsevier
In this paper, the asymptotic stability analysis is investigated for a kind of discrete-time
bidirectional associative memory (BAM) neural networks with the existence of perturbations …

Stability and synchronization of discrete-time neural networks with switching parameters and time-varying delays

L Wu, Z Feng, J Lam - … on neural networks and learning systems, 2013 - ieeexplore.ieee.org
This paper is concerned with the problems of exponential stability analysis and
synchronization of discrete-time switched delayed neural networks. Using the average dwell …

Outlier-Resistant Nonfragile Control of T–S Fuzzy Neural Networks With Reaction–Diffusion Terms and Its Application in Image Secure Communication

F Fang, Y Liu, JH Park, Y Liu - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
This article focuses on a new outlier-resistant nonfragile control issue for a class of Takagi–
Sugeno fuzzy delayed neural networks with reaction–diffusion terms. Compared with the …

New augmented Lyapunov–Krasovskii functional approach to stability analysis of neural networks with time-varying delays

OM Kwon, JH Park, SM Lee, EJ Cha - Nonlinear dynamics, 2014 - Springer
This paper is concerned with the problem of stability analysis for neural networks with time-
varying delays. By constructing a newly augmented Lyapunov functional and some novel …

Chaos synchronization of stochastic reaction-diffusion time-delay neural networks via non-fragile output-feedback control

W Tai, Q Teng, Y Zhou, J Zhou, Z Wang - Applied Mathematics and …, 2019 - Elsevier
This paper addresses the issue of non-fragile output-feedback control for master-slave
chaos synchronization of reaction-diffusion time-delay neural networks subject to stochastic …

Analysis on delay-dependent stability for neural networks with time-varying delays

OM Kwon, JH Park, SM Lee, EJ Cha - Neurocomputing, 2013 - Elsevier
This paper considers the problem of delay-dependent stability criteria for neural networks
with time-varying delays. First, by constructing a newly augmented Lyapunov–Krasovskii …