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 work investigates the finite-time event-triggered approach for recurrent neural networks
with leakage term and its application. Here, decentralized event-triggered framework is …

This article is concerned with the maximum correntropy filtering (MCF) problem for a class of
nonlinear complex networks subject to non-Gaussian noises and uncertain dynamical bias …

This work investigates the pinning synchronization problem of a drive-response network with
nonlinear nodal dynamics under dynamic pinning strategy, where the control signal updates …

This paper focuses on the problem of the exponential synchronizationlike criteria for state-
dependent impulsive dynamical networks (SIDNs). Two types of sufficient conditions, which …

Estimating the global state of a networked system is an important problem in many
application domains. The classical approach to tackling this problem is the periodic …

This article investigates the global O (t− ϱ) synchronization problem for multiple fractional-
order neural networks (MFNNs) with time delay. By utilizing the unique properties of …

The global synchronization of coupled neural networks with hybrid coupling has been
studied in this paper. The hybrid coupling is formed from constant coupling, discrete-delay …

Asymmetric recurrent time-varying neural networks (ARTNNs) can enable realistic brain-like
models to help scholars explore the mechanisms of the human brain and thus realize the …

This paper is committed to investigating outer-synchronization of fractional-order neural
networks with deviating argument via centralized and decentralized data-sampling …