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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04488-z
Abstract: In this paper, optimal quasi-synchronization problem for fractional-order memristive delayed neural networks (FMDNNs) is investigated. The model of FMDNNs is transformed into systems with interval parameters. To guarantee quasi-synchronization, a general fractional-order inequalities and aperiodically…
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Keywords:
optimal quasi;
order memristive;
quasi synchronization;
fractional order ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.097
Abstract: Abstract This work studies lag quasi-synchronization (LQS) for discrete-time master–slave (MS) periodic neural networks (NNs) with the communication channel (CC) constraint. A logarithmic quantizer is used to overcome the CC constraint, and a redundant CC…
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Keywords:
lag quasi;
neural networks;
communication;
quasi synchronization ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2021.3081502
Abstract: This article proposes a distributed error estimation approach to investigate the quasi-synchronization problem of heterogeneous dynamical networks with static and adaptive coupling laws under a directed communication topology. By introducing a pining control strategy, a…
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Keywords:
error estimation;
distributed error;
heterogeneous dynamical;
dynamical networks ... See more keywords
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Published in 2023 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2023.3237248
Abstract: This article investigates the quasi-synchronization for fractional multiweighted coupled neural networks (FMCNNs) with discontinuous activation functions and mismatched parameters. First, under the generalized Caputo fractional-order derivative operator, a novel piecewise fractional differential inequality is established…
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Keywords:
synchronization fractional;
coupled neural;
multiweighted coupled;
fractional multiweighted ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185586
Abstract: In this article, the quasi-synchronization for a kind of coupled neural networks with time-varying delays is investigated via a novel event-triggered impulsive control approach. In view of the randomly occurring uncertainties (ROUs) in the communication…
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Keywords:
event triggered;
neural networks;
coupled neural;
quasi synchronization ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3238331
Abstract: This article explores the quasi-synchronization of discrete-time-delayed heterogeneous-coupled neural networks (CNNs) via hybrid impulsive control. By introducing an exponential decay function, two non-negative regions are introduced that are named time-triggering and event-triggering regions, respectively. The…
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Keywords:
time;
neural networks;
control;
hybrid impulsive ... See more keywords
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Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3124158
Abstract: The quasi-synchronization problems of the delayed multiplex networks with stochastic perturbations are investigated in this article. Different from previous studies on complete synchronization for the delayed multiplex networks, quasi-synchronization, which is more practical and more…
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Keywords:
synchronization delayed;
control;
multiplex networks;
quasi synchronization ... See more keywords
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Published in 2021 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331221995332
Abstract: This paper investigates the quasi-synchronization problem for a class of heterogeneous dynamical networks based on a non-fragile memory sampled-data controller. Considering the effect of controller gain fluctuation and communication delay, a sampled-data control scheme with…
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Keywords:
data control;
dynamical networks;
quasi synchronization;
control ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14051035
Abstract: Owing to the symmetry between drive–response systems, the discussions of synchronization performance are greatly significant while exploring the dynamics of neural network systems. This paper investigates the quasi-synchronization (QS) and quasi-uniform synchronization (QUS) issues between…
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Keywords:
time;
synchronization quasi;
quasi uniform;
time varying ... See more keywords