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 …

This paper is concerned with event-triggered consensus of general linear multiagent
systems (MASs) in leaderless and leader-following networks, respectively, in the framework …

This paper is concerned with secure synchronization of multi-agent systems under
deception attacks in the impulsive control framework. False data is injected into sensor-to …

The stabilization problem of delay systems is studied under the delay-dependent impulsive
control. The main contributions of this technical note are that, for one thing, it shows that time …

This article presents a secure communication scheme based on the quantized
synchronization of master-slave neural networks under an event-triggered strategy. First, a …

This paper studies leader–follower synchronization in heterogeneous dynamic networks via
distributed impulsive control. The goal is to drive the followers to approximately synchronize …

This paper is concerned with sampled-data leader-following consensus of a group of agents
with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in …

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 paper is concerned with global asymptotic stability of delayed neural networks. Notice
that a Bessel-Legendre inequality plays a key role in deriving less conservative stability …

Neuronal state estimation of neural networks is a fundamental issue, aiming at estimating
neuronal states from contaminated neural measurement outputs. Inspired by extensive …