Global asymptotic stability is an important issue for wide applications of recurrent neural
networks with time-varying delays. The Lyapunov–Krasovskii functional method is a …

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 …

This paper investigates delay-dependent stability for continuous neural networks with a time-
varying delay. This paper aims at deriving a new stability criterion, considering tradeoff …

In this paper, a weighting-delay-based method is developed for the study of the stability
problem of a class of recurrent neural networks (RNNs) with time-varying delay. Different …

This paper investigates the delay-dependent stability for generalized continuous neural
networks with time-varying delays. A novel Lyapunov-Krasovskii functional (LKF) that …

This paper is concerned with global exponential stability problem for a class of neural
networks with time-varying delays. Using a new proposed inequality called free-matrix …

Recently, stability analysis of time-delay systems has received much attention. Rich results
have been obtained on this topic using various approaches and techniques. Most of those …

This letter is concerned with the stability analysis of neural networks (NNs) with time-varying
interval delay. The relationship between the time-varying delay and its lower and upper …

In this brief, the problems of delay-dependent stability analysis and strict (Q, S, ℜ)-α-
dissipativity analysis are investigated for cellular neural networks (CNNs) with distributed …

In this letter, the global asymptotical stability analysis problem is considered for a class of
Markovian jum** stochastic Cohen-Grossberg neural networks (CGNNs) with mixed …