Different from the existing multiple Mittag-Leffler stability or multiple asymptotic stability, the
multiple exponential stability, which has explicit and faster convergence rate, is investigated …

This paper explores sampled-data control for Markovian switching neural networks (MSNNs)
with dynamic output quantization and packet dropouts. The primary goal is to construct a …

The exponential asynchronous stabilization (EAS) issue for a category of neural networks
(NNs) with semi-Markov jump (SMJ) parameters and additive time-varying delays (ATDs) is …

In this paper, a new direct method based on system solutions is proposed to give global
exponential synchronization analysis of multi-link memristive neural networks. The network …

In this paper, the synchronization problem of a class of switching neural networks with
leakage time-varying delays is studied. A system solution-based direct analysis method is …

The state estimation problem of singularly perturbed semi-Markov jump coupled neural
networks is investigated in this paper, in which a two-time-scale event-triggered mechanism …

This work focuses on the issue of non-fragile state-feedback extended dissipative
synchronization control for uncertain discrete-time neural networks (DTNNs) with leakage …

Unsupervised feature selection (UFS) aims to learn an indicator matrix relying on some
characteristics of the high-dimensional data to identify the features to be selected. However …

Global robust exponential synchronization of neutral-type interval Cohen–Grossberg neural
networks (NTICGNNs) with mixed time delays is analyzed in this paper. The system model …

In this paper, we studied the problem of global robust exponential synchronization of interval
bidirectional associative memory (BAM) neural networks with multiple time-varying delays. A …