Delay-dependent stability analysis of neural networks with time-varying delay: A generalized free-weighting-matrix approach

CK Zhang, Y He, L Jiang, WJ Lin, M Wu - Applied mathematics and …, 2017 - Elsevier
This paper investigates the delay-dependent stability problem of continuous neural networks
with a bounded time-varying delay via Lyapunov–Krasovskii functional (LKF) method. This …

Fractional order uncertain BAM neural networks with mixed time delays: An existence and Quasi-uniform stability analysis

M Chinnamuniyandi, S Chandran… - Journal of Intelligent & …, 2024 - content.iospress.com
This research investigates the presence of unique solutions and quasi-uniform stability for a
class of fractional-order uncertain BAM neural networks utilizing the Banach fixed point …

Stability of Markovian jump generalized neural networks with interval time-varying delays

R Saravanakumar, MS Ali, CK Ahn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
This paper examines the problem of asymptotic stability for Markovian jump generalized
neural networks with interval time-varying delays. Markovian jump parameters are modeled …

Lagrange stability analysis for complex-valued neural networks with leakage delay and mixed time-varying delays

Q Song, H Shu, Z Zhao, Y Liu, FE Alsaadi - Neurocomputing, 2017 - Elsevier
This paper discusses the stability in Lagrange sense for complex-valued neural networks
with time-varying discrete delays and distributed delays as well as leakage delay. By …

Novel global robust exponential stability criterion for uncertain inertial-type BAM neural networks with discrete and distributed time-varying delays via Lagrange sense

C Maharajan, R Raja, J Cao, G Rajchakit - Journal of the Franklin Institute, 2018 - Elsevier
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 …

Exponential stability for a class of memristive neural networks with mixed time-varying delays

G Zhang, Z Zeng - Applied Mathematics and Computation, 2018 - Elsevier
A new general hybrid neural networks with inertial term and mixed time-varying delays are
proposed here by using the memristors connections. Then by building appropriate …

Further results on dissipativity and stability analysis of Markov jump generalized neural networks with time-varying interval delays

S Jiao, H Shen, Y Wei, X Huang, Z Wang - Applied Mathematics and …, 2018 - Elsevier
This work investigates the dissipativity and stability analysis problems for Markov jump
generalized neural networks subject to time-varying interval delays. The aim of the present …

Stability and Hopf bifurcation of controlled complex networks model with two delays

J Cao, L Guerrini, Z Cheng - Applied Mathematics and Computation, 2019 - Elsevier
This paper considers Hopf bifurcation of complex network with two independent delays. By
analyzing the eigenvalue equations, the local stability of the system is studied. Taking delay …

Non-fragile asynchronous event-triggered control for uncertain delayed switched neural networks

J Luo, W Tian, S Zhong, K Shi, W Wang - Nonlinear Analysis: Hybrid …, 2018 - Elsevier
This study constructs and investigates the non-fragile asynchronous event-triggered control
for uncertain switched neural networks with communication delays and Bernoulli …

LMI-based results on exponential stability of BAM-type neural networks with leakage and both time-varying delays: A non-fragile state estimation approach

C Maharajan, R Raja, J Cao, G Rajchakit, Z Tu… - Applied Mathematics …, 2018 - Elsevier
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 …