Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

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 paper, based on the invariant principle of functional differential equations, a simple,
analytical, and rigorous adaptive feedback scheme is proposed for the synchronization of …

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 …

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 …

This paper introduces a general class of neural networks with arbitrary constant delays in
the neuron interconnections, and neuron activations belonging to the set of discontinuous …

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 paper, several sufficient conditions are established for the global asymptotic stability
of recurrent neural networks with multiple time-varying delays. The Lyapunov–Krasovskii …

In this paper, a model is considered to describe the dynamics of Cohen–Grossberg neural
network with variable coefficients and time-varying delays. Uniformly ultimate boundedness …