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 …

Recently, the dynamical behaviors of coupled neural networks (CNNs) with and without
reaction-diffusion terms have been widely researched due to their successful applications in …

In this paper, we investigate the global stability of quaternion-valued neural networks
(QVNNs) with time-varying delays. On one hand, in order to avoid the noncommutativity of …

In this paper, two related problems, global asymptotic stability (GAS) and global robust
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …

This research work studies stability problems for more general models of neutral-type neural
systems where both neuron states and the time derivative of neuron states involve multiple …

For neural networks with constant or time-varying delays, the problems of determining the
exponential stability and estimating the exponential convergence rate are studied in this …

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 …

This paper studies the stabilization problem of delayed memristive neural networks under
event-triggered control. A refined switching event-trigger scheme that switches between …

This paper derives some sufficient conditions for asymptotic stability of neural networks with
constant or time-varying delays. The Lyapunov-Krasovskii stability theory for functional …

This paper derives a new sufficient condition for the exponential stability of the equilibrium
point for delayed neural networks with time varying delays by employing a Lyapunov …