Long Zhang
Orcid: 0000-0002-5125-0224Affiliations:
- Xinjiang University, College of Mathematics and System Sciences, Wulumuqi, China (PhD 2007)
According to our database1,
Long Zhang
authored at least 29 papers
between 2005 and 2023.
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Bibliography
2023
Quasi-synchronization of fractional-order complex-value neural networks with discontinuous activations.
Neurocomputing, December, 2023
Adaptive control-based synchronization of discrete-time fractional-order fuzzy neural networks with time-varying delays.
Neural Networks, November, 2023
Quasi-synchronization of discrete-time fractional-order quaternion-valued memristive neural networks with time delays and uncertain parameters.
Appl. Math. Comput., September, 2023
Quasi-projective and complete synchronization of discrete-time fractional-order delayed neural networks.
Neural Networks, July, 2023
Hybrid control-based synchronization of fractional-order delayed complex-valued fuzzy neural networks.
Comput. Appl. Math., June, 2023
Quasi-projective synchronization of discrete-time fractional-order quaternion-valued neural networks.
J. Frankl. Inst., March, 2023
Synchronization analysis and parameters identification of uncertain delayed fractional-order BAM neural networks.
Neural Comput. Appl., 2023
2022
Quasi-Synchronization and Complete Synchronization of Fractional-Order Fuzzy BAM Neural Networks Via Nonlinear Control.
Neural Process. Lett., 2022
Global Mittag-Leffler stability and synchronization of discrete-time fractional-order delayed quaternion-valued neural networks.
Neurocomputing, 2022
Complete and finite-time synchronization of fractional-order fuzzy neural networks via nonlinear feedback control.
Fuzzy Sets Syst., 2022
Global Mittag-Leffler synchronization of discrete-time fractional-order neural networks with time delays.
Appl. Math. Comput., 2022
2021
Analysis of a general multi-group reaction-diffusion epidemic model with nonlinear incidence and temporary acquired immunity.
Math. Comput. Simul., 2021
Finite-time stabilization of fractional-order fuzzy quaternion-valued BAM neural networks via direct quaternion approach.
J. Frankl. Inst., 2021
Stability and Hopf Bifurcation of a Stage-Structured Cannibalism Model with Two Delays.
Int. J. Bifurc. Chaos, 2021
Global stability for a delayed HIV reactivation model with latent infection and Beddington-DeAngelis incidence.
Appl. Math. Lett., 2021
Non-separation method-based robust finite-time synchronization of uncertain fractional-order quaternion-valued neural networks.
Appl. Math. Comput., 2021
Global dynamics for a drug-sensitive and drug-resistant mixed strains of HIV infection model with saturated incidence and distributed delays.
Appl. Math. Comput., 2021
2020
Global Mittag-Leffler synchronization of fractional-order delayed quaternion-valued neural networks: Direct quaternion approach.
Appl. Math. Comput., 2020
2019
Global synchronization between two fractional-order complex networks with non-delayed and delayed coupling via hybrid impulsive control.
Neurocomputing, 2019
2018
Math. Comput. Simul., 2018
Global stability of an SI epidemic model with feedback controls in a patchy environment.
Appl. Math. Comput., 2018
2016
Global Mittag-Leffler stability for a coupled system of fractional-order differential equations on network with feedback controls.
Neurocomputing, 2016
2015
Global Mittag-Leffler stability of coupled system of fractional-order differential equations on network.
Appl. Math. Comput., 2015
2014
Math. Comput. Simul., 2014
Analysis of a Single Species Model with Dissymmetric Bidirectional Impulsive Diffusion and Dispersal Delay.
J. Appl. Math., 2014
J. Appl. Math., 2014
2013
Permanence and global attractivity of an impulsive ratio-dependent predator-prey system in a patchy environment.
Appl. Math. Comput., 2013
2007
Permanence for a class of periodic time-dependent competitive system with delays and dispersal in a patchy-environment.
Appl. Math. Comput., 2007
2005
Existence and global exponential stability of almost periodic solution for cellular neural networks with variable coefficients and time-varying delays.
IEEE Trans. Neural Networks, 2005