This paper reviews some recent works on impulsive delayed systems (IDSs). The prime
focus is the fundamental results and recent progress in theory and applications. After …

This paper deals with the non-fragile memory filtering issue of TS fuzzy delayed neural
networks with randomly occurring time-varying parameters uncertainties and variable …

This paper investigates the issue of the reliable asynchronous sampled-data filtering of
Takagi–Sugeno (T–S) fuzzy delayed neural networks with stochastic intermittent faults …

This paper is mainly concerned with the synchronization problem of reaction-diffusion neural
networks (RDNNs) with delays and its direct application in image secure communications …

The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …

This paper presents a new impulsive synchronization criterion of two identical reaction-
diffusion neural networks with discrete and unbounded distributed delays. The new criterion …

In this paper, we investigate the synchronization problem on delayed memristive neural
networks (MNNs) with leakage delay and parameters mismatch via event-triggered control …

The actuator of any physical control systems is constrained by amplitude and energy, which
causes the control systems to be inevitably affected by actuator saturation. In this paper …

In this paper, the global exponential stability of complex-valued neural networks with both
time-varying delays and impulsive effects is discussed. By employing Lyapunov functional …

This paper investigates the cluster synchronization of coupled neural networks with reaction–
diffusion terms. With the help of impulsive control strategies, some cluster synchronization …