Fei Wang
Orcid: 0000-0002-2952-4911Affiliations:
- Qufu Normal University, School of Mathematical Sciences, China
- Jiangnan University, School of Science / MoE Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China (former)
According to our database1,
Fei Wang
authored at least 13 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
Finite-Time Multiparty Synchronization of T-S Fuzzy Coupled Memristive Neural Networks With Optimal Event-Triggered Control.
IEEE Trans. Fuzzy Syst., 2023
2019
Synchronization of Complex Dynamical Networks with Hybrid Time Delay under Event-Triggered Control: The Threshold Function Method.
Complex., 2019
2018
Finite-Time Lag Synchronization for Memristive Mixed Delays Neural Networks with Parameter Mismatch.
Neural Process. Lett., 2018
Lag synchronization for fractional-order memristive neural networks with time delay via switching jumps mismatch.
J. Frankl. Inst., 2018
Synchronization analysis of fractional-order neural networks with time-varying delays via discontinuous neuron activations.
Neurocomputing, 2018
Quasi-synchronization for fractional-order delayed dynamical networks with heterogeneous nodes.
Appl. Math. Comput., 2018
2017
Neural Process. Lett., 2017
Global asymptotic stability of impulsive fractional-order BAM neural networks with time delay.
Neural Comput. Appl., 2017
Correction: fractional order Barbalat's Lemma and its Applications in the stability of fractional order nonlinear Systems.
Math. Model. Anal., 2017
Leader-following consensus of nonlinear fractional-order multi-agent systems via event-triggered control.
Int. J. Syst. Sci., 2017
Stability and Stabilization of Time-Delayed Fractional Order Neural Networks via Matrix Measure.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2015
Asymptotic stability of delayed fractional-order neural networks with impulsive effects.
Neurocomputing, 2015
2014
Existence and Uniqueness of Almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014