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 …

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 …

In this paper, event-triggered state estimation for reaction–diffusion neural networks
(RDNNs) subject to Denial-of-Service (DoS) attacks is investigated. A switching-like event …

This paper investigates the state estimation for switched memristive neural networks with
nonhomogeneous sojourn probabilities. Essentially different from most current literature, a …

In this paper, the problem of sampled-data synchronization for Markovian jump neural
networks with time-varying delay and variable samplings is considered. In the framework of …

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 …

Over the last several decades, various theories and methods of analysis have been studied
for stability and stabilization problems in dynamic systems and networks. Especially, the last …

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 …

This paper investigates pinning synchronization of coupled neural networks with both
current-state coupling and distributed-delay coupling via impulsive control. A novel impulse …

This article is concerned with the extended dissipativity of discrete-time neural networks
(NNs) with time-varying delay. First, the necessary and sufficient condition on matrix-valued …