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Exponential synchronization for variable-order fractional discontinuous complex dynamical networks with short memory via impulsive control
R Li, H Wu, J Cao - Neural Networks, 2022 - Elsevier
This paper considers the exponential synchronization issue for variable-order fractional
complex dynamical networks (FCDNs) with short memory and derivative couplings via the …
complex dynamical networks (FCDNs) with short memory and derivative couplings via the …
Effects of impulse on prescribed-time synchronization of switching complex networks
Q Tang, S Qu, C Zhang, Z Tu, Y Cao - Neural Networks, 2024 - Elsevier
The specified convergence time, designated by the user, is highly attractive for many high-
demand applications such as industrial robot control, missile guidance, and autonomous …
demand applications such as industrial robot control, missile guidance, and autonomous …
Synchronization of switched neural networks via attacked mode-dependent event-triggered control and its application in image encryption
H Wang, X Yang, Z **ang, R Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
It is challenging to synchronize switched time-delay systems when some modes are
uncontrolled and the dwell time (DT) of controlled mode is very small. Therefore, in this …
uncontrolled and the dwell time (DT) of controlled mode is very small. Therefore, in this …
Synchronization of time-delayed complex networks with switching topology via hybrid actuator fault and impulsive effects control
This article investigates global exponential synchronization almost surely (GES as) of
complex networks (CNs) with node delay and switching topology. By introducing transition …
complex networks (CNs) with node delay and switching topology. By introducing transition …
Novel LKF Method on H∞ Synchronization of Switched Time-Delay Systems
Q Qi, X Yang, Z Xu, M Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates global asymptotic synchronization (GAS) of switched nonlinear
systems with delay. By introducing mode-dependent double event-triggering mechanisms …
systems with delay. By introducing mode-dependent double event-triggering mechanisms …
Event-triggered dynamic output quantization control of switched T–S fuzzy systems with unstable modes
X Yang, G Feng, C He, J Cao - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article is concerned with exponential stabilization almost surely for a class of discrete-
time switched T–S fuzzy systems (DTSTSFSs), in which each mode switches according to …
time switched T–S fuzzy systems (DTSTSFSs), in which each mode switches according to …
Synchronization of coupled time-delay neural networks with mode-dependent average dwell time switching
In the literature, the effects of switching with average dwell time (ADT), Markovian switching,
and intermittent coupling on stability and synchronization of dynamic systems have been …
and intermittent coupling on stability and synchronization of dynamic systems have been …
Robust partial-nodes-based state estimation for complex networks under deception attacks
In this paper, the partial-nodes-based state estimators (PNBSEs) are designed for a class of
uncertain complex networks subject to finite-distributed delays, stochastic disturbances, as …
uncertain complex networks subject to finite-distributed delays, stochastic disturbances, as …
Quasi-projective and complete synchronization of fractional-order complex-valued neural networks with time delays
This paper studies quasi-projective synchronization (QPS) and complete synchronization
(CS) for a class of fractional-order complex-valued neural networks with time delays by …
(CS) for a class of fractional-order complex-valued neural networks with time delays by …
Impulsive effects on bipartite quasi synchronization of extended Caputo fractional order coupled networks
L Zhang, Y Yang - Journal of the Franklin Institute, 2020 - Elsevier
This paper is considered with a bipartite quasi synchronization of a fractional order signed
network consisting of a group of antagonistic coupled neural networks. The objective is to …
network consisting of a group of antagonistic coupled neural networks. The objective is to …