Explosive transitions in complex networks' structure and dynamics: Percolation and synchronization
Percolation and synchronization are two phase transitions that have been extensively
studied since already long ago. A classic result is that, in the vast majority of cases, these …
studied since already long ago. A classic result is that, in the vast majority of cases, these …
Complex photonics: Dynamics and applications of delay-coupled semiconductors lasers
Complex phenomena in photonics, in particular, dynamical properties of semiconductor
lasers due to delayed coupling, are reviewed. Although considered a nuisance for a long …
lasers due to delayed coupling, are reviewed. Although considered a nuisance for a long …
Fixed-time synchronization of delayed memristor-based recurrent neural networks
J Cao, R Li - Science China Information Sciences, 2017 - Springer
This paper focuses on the fixed-time synchronization control methodology for a class of
delayed memristor-based recurrent neural networks. Based on Lyapunov functionals …
delayed memristor-based recurrent neural networks. Based on Lyapunov functionals …
Lag Synchronization of Memristor-Based Coupled Neural Networks via -Measure
N Li, J Cao - IEEE transactions on neural networks and learning …, 2015 - ieeexplore.ieee.org
This paper deals with the lag synchronization problem of memristor-based coupled neural
networks with or without parameter mismatch using two different algorithms. Firstly, we …
networks with or without parameter mismatch using two different algorithms. Firstly, we …
Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays
X Peng, H Wu, K Song, J Shi - Neural Networks, 2017 - Elsevier
This paper is concerned with the global Mittag-Leffler synchronization and the
synchronization in finite time for fractional-order neural networks (FNNs) with discontinuous …
synchronization in finite time for fractional-order neural networks (FNNs) with discontinuous …
Weighted sum synchronization of memristive coupled neural networks
It is well known that weighted sum of node states plays an essential role in function
implementation of neural networks. Therefore, this paper proposes a new weighted sum …
implementation of neural networks. Therefore, this paper proposes a new weighted sum …
Synchronization issue of coupled neural networks based on flexible impulse control
R Xiu, W Zhang, Z Zhou - Neural Networks, 2022 - Elsevier
The global exponential synchronization issue of coupled neural networks with time-delayed
impulses is investigated in this paper. On the basis of the characteristics of coupled neural …
impulses is investigated in this paper. On the basis of the characteristics of coupled neural …
Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy
H Wu, L Wang, P Niu, Y Wang - Neurocomputing, 2017 - Elsevier
In this paper, a novel fractional-order sliding mode control strategy is introduced to
synchronize two nonidentical fractional order neural networks (FNNs) in finite time. Firstly, by …
synchronize two nonidentical fractional order neural networks (FNNs) in finite time. Firstly, by …
Generalized outer synchronization between complex dynamical networks with time delay and noise perturbation
Y Sun, W Li, J Ruan - … in Nonlinear Science and Numerical Simulation, 2013 - Elsevier
In this paper, the generalized outer synchronization between two different delay-coupled
complex dynamical networks with noise perturbation is investigated. With a nonlinear control …
complex dynamical networks with noise perturbation is investigated. With a nonlinear control …
Synchronization of coupled stochastic complex-valued dynamical networks with time-varying delays via aperiodically intermittent adaptive control
P Wang, W Jin, H Su - Chaos: An Interdisciplinary Journal of Nonlinear …, 2018 - pubs.aip.org
This paper deals with the synchronization problem of a class of coupled stochastic complex-
valued drive-response networks with time-varying delays via aperiodically intermittent …
valued drive-response networks with time-varying delays via aperiodically intermittent …