Intralayer synchronization of multiplex dynamical networks via pinning impulsive control

H Liu, J Li, Z Li, Z Zeng, J Lü - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
These days, the synchronization of multiplex networks is an emerging and important
research topic. Grounded framework and theory about synchronization and control on …

Synchronization for fractional-order discrete-time neural networks with time delays

Y Gu, H Wang, Y Yu - Applied Mathematics and Computation, 2020 - Elsevier
This paper is concerned with synchronization for fractional-order discrete-time neural
networks (FDTNNs) without time delays and with time delays, respectively. First of all, the …

Event-triggered synchronization of multiple discrete-time Markovian jump memristor-based neural networks with mixed mode-dependent delays

H Li, JA Fang, X Li, L Rutkowski… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper deals with global synchronization problem of multiple discrete-time Markovian
jump memristor-based neural networks (DTMJMNNs) with mixed mode-dependent delays …

Finite-time synchronization of memristor neural networks via interval matrix method

F Wei, G Chen, W Wang - Neural Networks, 2020 - Elsevier
In this paper, the finite-time synchronization problems of two types of driven-response
memristor neural networks (MNNs) without time-delay and with time-varying delays are …

Time-varying output formation tracking of heterogeneous linear multi-agent systems with dynamical controllers

C Liu, X Wu, X Wan, J Lü - Neurocomputing, 2021 - Elsevier
This paper is concerned with the problem of time-varying output formation tracking of
heterogeneous linear multi-agent systems on a directed communication topology that the …

Pinning synchronization for markovian jump neural networks with uncertain impulsive effects

Y Guo, Z Huang, L Yang, H Rao, H Chen, Y Xu - Neurocomputing, 2023 - Elsevier
This work concentrates on synchronization of neural networks (NNs) with Markovian
parameters, where the Markov chain has partially unknown transition probabilities (PUTP) …

Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays

H Li, J Fang, X Li, L Rutkowski, T Huang - Neural Networks, 2020 - Elsevier
This paper deals with the synchronization for discrete-time coupled neural networks
(DTCNNs), in which stochastic perturbations and multiple delays are simultaneously …

A stabilization approach for a novel chaotic fractional-order discrete neural network

IM Batiha, A Ouannas, JA Emwas - J. Math. Comput. Sci., 2021 - scik.org
This paper aims to make a contribution to the topic of the stabilization of chaotic dynamics in
fractional-order discrete systems by presenting a novel three-dimensional fractional-order …

Inter-layer generalized synchronization of two-layer impulsively-coupled networks

D Ning, X Wu, H Feng, Y Chen, J Lu - Communications in Nonlinear …, 2019 - Elsevier
In the last decade, synchronization of complex dynamical networks via impulsive control has
been studied by many researchers. Much attention has been paid to inner synchronization …

Robust synchronization of coupled logical networks subject to stochastic function perturbations

X Yang, H Li - Information Sciences, 2024 - Elsevier
This article analyzes the robust synchronization of coupled logical networks (LNs) subject to
stochastic function perturbations (SFPs). Firstly, by defining a synchronization states set, the …