This paper aims to investigate the predefined-time synchronization analysis for two chaotic
systems with different dimensions. Firstly, based on the definition of predefined-time stability …

In this study, we investigate the global exponential stability of Clifford-valued neural network
(NN) models with impulsive effects and time-varying delays. By taking impulsive effects into …

This paper investigates the problem of finite-/fixed-time synchronization for Clifford-valued
recurrent neural networks with time-varying delays. The considered Clifford-valued drive …

This paper considers the Clifford-valued recurrent neural network (RNN) models, as an
augmentation of real-valued, complex-valued, and quaternion-valued neural network …

In this paper, a unified control framework is proposed to investigate the synchronization
problem of inertial neural networks (INNs). Via the proposed framework, the finite-time, fixed …

In this paper, we focus on the global asymptotic stability problem for Clifford-valued neural
network models with time-varying delays as well as impulsive effects. By considering …

This paper researches the problem of p-norm fixed-time synchronization for a class of
delayed inertial complex-valued neural networks (ICVNNs). By using reduced-order …

In this paper, we investigate the fixed-time synchronization for fuzzy inertial neural networks
with time-varying coefficients and time delays. The fuzzy inertial neural networks are …

In this paper, we analyze the global asymptotic stability and global exponential stability with
respect to the Clifford-valued neutral-type neural network (NN) models with time delays. By …

In this paper, we explore the finite-time synchronization of Clifford-valued neural networks
with finite-time distributed delays. To address the problem associated with non …