Noise exposure has reached an alarming degree over the years because of rapid growth in
the industry, transportation, and urbanization. Therefore, it is a dire need to provide …

This paper addresses the problem of adaptive neural output-feedback decentralized control
for a class of strongly interconnected nonlinear systems suffering stochastic disturbances …

In this paper, bipartite synchronization of signed networks with stochastic disturbances via
aperiodically intermittent control is investigated. The aperiodically intermittent control …

In this paper, to investigate the exponential synchronization of stochastic neural networks, a
new periodically intermittent discrete observation control (PIDOC) is first proposed. Different …

Competitive neural networks have become increasingly popular since this kind of neural
networks can better describe the dynamics of cortical cognitive maps with unsupervised …

In this paper, the exponential synchronization of stochastic complex networks without strong
connectivity is discussed. Distinguished from the previous papers, we introduce a novel …

This paper is concerned with the almost sure exponential synchronization of a multilayer
network which is set up on a non-strongly connected digraph that can be classified into …

The pth moment exponential synchronization (PMES) problem for time-varying complex
dynamical networks (CDNs) with multiple time-varying delays (TCDNMTDs) by aperiodically …

In this paper, finite-time synchronization issue of fractional-order complex-valued dynamical
networks with multiple weights is addressed. Multiple weights are pulled into consideration …

In this paper, synchronization problem of stochastic hybrid coupled systems with multi-
weights and mixed delays (SHSMD) is researched via aperiodically adaptive intermittent …