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 …

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 …

In this letter, a new method is proposed for stability analysis of neural networks (NNs) with a
time-varying delay. Some less conservative delay-dependent stability criteria are …

In this paper, a novel method is developed for the stability problem of a class of neural
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …

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 …

Complex dynamical networks are attracting more and more attention due to their ubiquity in
the natural world. This Letter presents several new delay-dependent conditions for a general …

This brief deals with the problem of global asymptotic stability for a class of delayed neural
networks. Some new Lyapunov-Krasovskii functionals are constructed by nonuniformly …

This brief is concerned with the problem of asymptotic stability of neural networks with time-
varying delays. The activation functions are monotone nondecreasing with known lower and …

This paper focuses on the delay-dependent stability of a class of generalized neural
networks (NNs) with time-varying delays. A free-matrix-based inequality is presented by …

This paper is concerned with the problem of stability of neural networks with time-varying
delays. A novel Lyapunov-Krasovskii functional decomposing the delays in all integral terms …