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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 …
Synchronization issue of coupled neural networks based on flexible impulse control
R **u, 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 …
Weighted sum synchronization of memristive coupled neural networks
C Zhou, C Wang, Y Sun, W Yao - Neurocomputing, 2020 - Elsevier
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 …
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 **, 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 …