Exponential stability of fractional-order complex multi-links networks with aperiodically intermittent control

Y Xu, S Gao, W Li - IEEE Transactions on Neural Networks and …, 2020 - ieeexplore.ieee.org
In this article, the exponential stability problem for fractional-order complex multi-links
networks with aperiodically intermittent control is considered. Using the graph theory and …

Stabilization of highly nonlinear stochastic coupled systems via periodically intermittent control

Y Liu, J Liu, W Li - IEEE Transactions on Automatic Control, 2020 - ieeexplore.ieee.org
This article considers the stabilization of highly nonlinear stochastic coupled systems
(HNSCSs) with time delay via periodically intermittent control. This article is motivated by …

Finite-time and fixed-time synchronization of delayed memristive neural networks via adaptive aperiodically intermittent adjustment strategy

L Cheng, F Tang, X Shi, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the finite-time and fixed-time synchronization for memristive neural
networks (MNNs) with mixed time-varying delays under the adaptive aperiodically …

Intermittent discrete observation control for synchronization of stochastic neural networks

Y Wu, J Zhu, W Li - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
In this paper, to investigate the exponential synchronization of stochastic neural networks, a
new periodically intermittent discrete observation control (PIDOC) is first proposed. Different …

Finite-time synchronization of multi-coupling stochastic fuzzy neural networks with mixed delays via feedback control

D Xu, Y Liu, M Liu - Fuzzy Sets and Systems, 2021 - Elsevier
In this paper, the finite-time synchronization problem for multi-coupling fuzzy cellular neural
networks (FCNNs) with stochastic perturbations and mixed delays is addressed. Compared …

Global asymptotic stability of fractional-order competitive neural networks with multiple time-varying-delay links

Y Xu, J Yu, W Li, J Feng - Applied Mathematics and Computation, 2021 - Elsevier
Competitive neural networks have become increasingly popular since this kind of neural
networks can better describe the dynamics of cortical cognitive maps with unsupervised …

Periodically intermittent discrete observation control for synchronization of the general stochastic complex network

Y Wu, S Zhuang, W Li - Automatica, 2019 - Elsevier
In this paper, the exponential synchronization of stochastic complex networks without strong
connectivity is discussed. Distinguished from the previous papers, we introduce a novel …

A recent survey on control for synchronization and passivity of complex networks

L Zhao, S Wen, C Li, K Shi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Over the past few years, dynamical behaviors of complex networks (CNs) and complex
networks with multi-weights (CNMWs) have attracted considerable attention on account of …

Adaptive finite-time synchronization control for fractional-order complex-valued dynamical networks with multiple weights

Y Xu, Y Li, W Li - Communications in Nonlinear Science and Numerical …, 2020 - Elsevier
In this paper, finite-time synchronization issue of fractional-order complex-valued dynamical
networks with multiple weights is addressed. Multiple weights are pulled into consideration …

Aperiodically intermittent discrete-time state observation noise for consensus of multiagent systems

Y Wu, S Zhuang, CK Ahn, W Li - IEEE Transactions on Systems …, 2020 - ieeexplore.ieee.org
A new consensus protocol with aperiodically intermittent discrete-time state observation
noise (AIDSON) is introduced. With the help of the proposed AIDSON, the almost sure …