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 …

This brief is concerned with the problem of neural state estimation for static neural networks
with time-varying delays. Notice that a Luenberger estimator can produce an estimation …

This paper studies the global pinning synchronization problem for a class of complex
networks with switching directed topologies. The common assumption in the existing related …

In this paper, the event-triggered state estimation problem is investigated for a class of
discrete-time multidelayed neural networks with stochastic parameters and incomplete …

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 …

This paper is concerned with global asymptotic stability for a class of generalized neural
networks with interval time-varying delays by constructing a new Lyapunov–Krasovskii …

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 the problems of stability and dissipativity analysis for static
neural networks (NNs) with time delay. Some improved delay-dependent stability criteria are …

This paper is concerned with global asymptotic stability for a class of generalized neural
networks (NNs) with interval time-varying delays, which include two classes of fundamental …