Dealing with impulsive effects is one of the most challenging problems in the field of fixed-time
control. In this paper, we solve this challenging problem by considering fixed-time …

In this paper, global exponential synchronization stability in an array of linearly diffusively
coupled reaction-diffusion neural networks with time-varying delays is investigated by adding …

In this paper, we study the finite-time stochastic synchronization problem for complex
networks with stochastic noise perturbations. By using finite-time stability theorem, inequality …

In this paper, the global exponential synchronization of delayed complex dynamical networks
with nonidentical nodes and stochastic perturbations is studied. By combining adaptive …

This note considers globally finite-time synchronization of coupled networks with Markovian
topology and distributed impulsive effects. The impulses can be synchronizing or …

In this Letter, we study the exponential stochastic synchronization problem for coupled
neural networks with stochastic noise perturbations. Based on Lyapunov stability theory, …

This paper considers the asymptotic and finite-time synchronization of drive-response
memristive neural networks (MNNs) with time-varying delays. It is known that the parameters of …

This paper considers the global exponential synchronization of drive-response memristive
neural networks (MNNs) with heterogeneous time-varying delays. Because the parameters of …

This paper is concerned with the cluster synchronization in finite time for a class of complex
networks with nonlinear coupling strengths and probabilistic coupling delays. The complex …

The asymptotic synchronization of coupled reaction-diffusion neural networks with proportional
delay and Markovian switching topologies is considered in this brief where the diffusion …