Asymptotic and finite-time cluster synchronization of coupled fractional-order neural networks with time delay

P Liu, Z Zeng, J Wang - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
This article is devoted to the cluster synchronization issue of coupled fractional-order neural
networks. By introducing the stability theory of fractional-order differential systems and the …

Global synchronization of coupled fractional-order recurrent neural networks

P Liu, Z Zeng, J Wang - IEEE transactions on neural networks …, 2018 - ieeexplore.ieee.org
This paper presents new theoretical results on the global synchronization of coupled
fractional-order recurrent neural networks. Under the assumptions that the coupled fractional …

Global exponential synchronization of delayed memristive neural networks with reaction–diffusion terms

Y Cao, Y Cao, Z Guo, T Huang, S Wen - Neural Networks, 2020 - Elsevier
This paper investigates the global exponential synchronization problem of delayed
memristive neural networks (MNNs) with reaction–diffusion terms. First, by utilizing the …

Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks

S Wang, Y Cao, T Huang, Y Chen, S Wen - Information Sciences, 2020 - Elsevier
This paper investigates the synchronization of multiple memristive neural networks
(MMNNs) under cyber-physical attacks through distributed event-triggered control. In the …

New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays

G Zhang, Z Zeng, J Hu - Neural Networks, 2018 - Elsevier
This paper is concerned with the global exponential dissipativity of memristive inertial neural
networks with discrete and distributed time-varying delays. By constructing appropriate …

Synchronization of memristive complex-valued neural networks with time delays via pinning control method

S Zhu, D Liu, C Yang, J Fu - IEEE Transactions on Cybernetics, 2019 - ieeexplore.ieee.org
This article concentrates on the synchronization problem of memristive complex-valued
neural networks (CVNNs) with time delays via the pinning control method. Different from …

Event-based synchronization control for memristive neural networks with time-varying delay

Z Guo, S Gong, S Wen, T Huang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we investigate the global synchronization control problem for memristive
neural networks (MNNs) with time-varying delay. A novel event-triggered controller is …

Passivity analysis of delayed reaction–diffusion memristor-based neural networks

Y Cao, Y Cao, S Wen, T Huang, Z Zeng - Neural Networks, 2019 - Elsevier
This paper discusses the passivity of delayed reaction–diffusion memristor-based neural
networks (RDMNNs). By exploiting inequality techniques and by constructing appropriate …

Stability and synchronization of fractional-order memristive neural networks with multiple delays

L Chen, J Cao, R Wu, JAT Machado, AM Lopes… - Neural Networks, 2017 - Elsevier
The paper presents theoretical results on the global asymptotic stability and synchronization
of a class of fractional-order memristor-based neural networks (FMNN) with multiple delays …

Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm

S Wang, Y Cao, T Huang, Y Chen, P Li, S Wen - Neural Networks, 2020 - Elsevier
This paper presents the theoretical results on sliding mode control (SMC) of neural networks
via continuous or periodic sampling event-triggered algorithm. Firstly, SMC with continuous …