Ailong Wu
Orcid: 0000-0002-8383-5155
According to our database1,
Ailong Wu
authored at least 53 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Variable-delay feedback control for stabilisation of highly nonlinear hybrid stochastic neural networks with time-varying delays.
Int. J. Control, April, 2024
Exponential Stability of Stochastic Time-Delay Neural Networks with Random Delayed Impulses.
Neural Process. Lett., February, 2024
2023
Fixed/predefined-time synchronization of memristive neural networks based on state variable index coefficient.
Neurocomputing, December, 2023
A Novel Approach to Discriminate Mean-Square Exponential Stability of Hybrid Stochastic Delay Differential Systems.
IEEE Trans. Circuits Syst. II Express Briefs, November, 2023
Novel joint transfer fine-grained metric network for cross-domain few-shot fault diagnosis.
Knowl. Based Syst., November, 2023
The Event-Triggered Impulsive Controls for Quasisynchronization of the Leader-Following Heterogeneous Dynamical Networks.
IEEE Trans. Cybern., October, 2023
Stabilization of highly nonlinear hybrid neutral stochastic neural networks with time-varying delays by variable-delay feedback control.
Syst. Control. Lett., February, 2023
Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network.
IEEE Access, 2023
2022
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Novel controller design for finite-time synchronization of fractional-order memristive neural networks.
Neurocomputing, 2022
Complex., 2022
2021
Finite-/Fixed-Time Synchronization of Delayed Coupled Discontinuous Neural Networks With Unified Control Schemes.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Unified Framework Design for Finite-Time and Fixed-Time Synchronization of Discontinuous Neural Networks.
IEEE Trans. Cybern., 2021
Observer Design and H<sub>∞</sub> Performance for Discrete-Time Uncertain Fuzzy-Logic Systems.
IEEE Trans. Cybern., 2021
Positivity and Stability of Cohen-Grossberg-Type Memristor Neural Networks With Unbounded Delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Multi-mode function synchronization of memristive neural networks with mixed delays and parameters mismatch via event-triggered control.
Inf. Sci., 2021
Robust exponential stabilization of positive uncertain switched neural networks with actuator saturation and sensor faults.
Appl. Math. Comput., 2021
2020
Fixed-time synchronization of delayed Cohen-Grossberg neural networks based on a novel sliding mode.
Neural Networks, 2020
2019
<i>P</i>th moment exponential input-to-state stability of non-autonomous delayed Cohen-Grossberg neural networks with Markovian switching.
Neurocomputing, 2019
2018
Multiple Mittag-Leffler stability and locally asymptotical <i>ω</i>-periodicity for fractional-order neural networks.
Neurocomputing, 2018
Multistability in Mittag-Leffler sense of fractional-order neural networks with piecewise constant arguments.
Neurocomputing, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments.
Neural Networks, 2017
Global mean square exponential stability of stochastic neural networks with retarded and advanced argument.
Neurocomputing, 2017
Mean-square global exponential stability in Lagrange sense for delayed recurrent neural networks with Markovian switching.
Neurocomputing, 2017
2016
Output Convergence of Fuzzy Neurodynamic System With Piecewise Constant Argument of Generalized Type and Time-Varying Input.
IEEE Trans. Syst. Man Cybern. Syst., 2016
Boundedness, Mittag-Leffler stability and asymptotical ω-periodicity of fractional-order fuzzy neural networks.
Neural Networks, 2016
Global Mittag-Leffler stabilization of fractional-order bidirectional associative memory neural networks.
Neurocomputing, 2016
2015
Complex., 2015
Improved conditions for global exponential stability of a general class of memristive neural networks.
Commun. Nonlinear Sci. Numer. Simul., 2015
2014
Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014
Neural Networks, 2014
Analysis and design of winner-take-all behavior based on a novel memristive neural network.
Neural Comput. Appl., 2014
J. Frankl. Inst., 2014
Inf. Sci., 2014
Neurocomputing, 2014
An improved criterion for stability and attractability of memristive neural networks with time-varying delays.
Neurocomputing, 2014
New global exponential stability results for a memristive neural system with time-varying delays.
Neurocomputing, 2014
Circuits Syst. Signal Process., 2014
Passivity analysis of memristive neural networks with different memductance functions.
Commun. Nonlinear Sci. Numer. Simul., 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Data Mining Paradigm Based on Functional Networks with Applications in Landslide Prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Commun. Nonlinear Sci. Numer. Simul., 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Dynamic behaviors of memristor-based recurrent neural networks with time-varying delays.
Neural Networks, 2012
Inf. Sci., 2012
Neurocomputing, 2012
Dynamic behaviors of hybrid Lotka-Volterra recurrent neural networks with memristor characteristics.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Exponential synchronization of memristor-based recurrent neural networks with time delays.
Neurocomputing, 2011
Global exponential stability in Lagrange sense for periodic neural networks with various activation functions.
Neurocomputing, 2011
2010
Proceedings of the Advances in Neural Networks, 2010
2009
Global Exponential Stability of Reaction-Diffusion Delayed BAM Neural Networks with Dirichlet Boundary Conditions.
Proceedings of the Advances in Neural Networks, 2009
Global Exponential Stability of Delayed Neural Networks with Non-lipschitz Neuron Activations and Impulses.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009