Yingjie Fan
Orcid: 0000-0001-9256-8450Affiliations:
- Shandong University of Science and Technology, College of Electrical Engineering and Automation, Qingdao, China
According to our database1,
Yingjie Fan
authored at least 23 papers
between 2018 and 2025.
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Bibliography
2025
Antagonistic-information-dependent integral-type event-trigger scheme for bipartite synchronization of cooperative-competitive neural networks and its application.
Inf. Sci., 2025
2024
A Switching Memory-Based Event-Trigger Scheme for Synchronization of Lur'e Systems With Actuator Saturation: A Hybrid Lyapunov Method.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Integral-Type Event-Trigger Scheme for Stabilization of T-S Fuzzy Systems by Using Preassigned-Interval Looped Function Method.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024
Sampled-Data-Based Secure Synchronization Control for Chaotic Lur'e Systems Subject to Denial-of-Service Attacks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Memory-Dependent Event-Trigger Scheme for Secure Control of Memristive Neural Networks: Dealing With Deception Attacks.
IEEE Trans. Ind. Informatics, April, 2024
Coopetition-dependent controller design for bipartite synchronization of cooperation-competition delayed memristive neural networks.
Commun. Nonlinear Sci. Numer. Simul., April, 2024
Secure Stabilization of Networked Lur'e Systems Suffering From DoS Attacks: A Resilient Memory-Based Event-Trigger Mechanism.
IEEE Trans. Inf. Forensics Secur., 2024
2023
Sampled-Data-Based Bipartite Leader-Follower Synchronization of Cooperation-Competition Neural Networks via Interval-Scheduled Looped-Functions.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023
Resilient Sampled-Data Control for Stabilization of T-S Fuzzy Systems via Interval-Dependent Function Method: Handling DoS Attacks.
IEEE Trans. Fuzzy Syst., June, 2023
Discontinuous Event-Triggered Control for Local Stabilization of Memristive Neural Networks With Actuator Saturation: Discrete- and Continuous-Time Lyapunov Methods.
IEEE Trans. Neural Networks Learn. Syst., April, 2023
Aperiodically Intermittent Control for Exponential Stabilization of Delayed Neural Networks Via Time-dependent Functional Method.
Neural Process. Lett., April, 2023
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach.
Expert Syst. Appl., April, 2023
Aperiodic Sampled-Data Control for Anti-Synchronization of Chaotic Nonlinear Systems Subject to Input Saturation.
Axioms, April, 2023
Memory-Based Event-Triggered Control for Global Synchronization of Chaotic Lur'e Systems and Its Application.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Using partial sampled-data information for synchronization of chaotic Lur'e systems and its applications: an interval-dependent functional method.
Inf. Sci., 2023
2021
Threshold-Function-Dependent Quasi-Synchronization of Delayed Memristive Neural Networks via Hybrid Event-Triggered Control.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A control-interval-dependent functional for exponential stabilization of neural networks via intermittent sampled-data control.
Appl. Math. Comput., 2021
2020
Quantized Control for Synchronization of Delayed Fractional-Order Memristive Neural Networks.
Neural Process. Lett., 2020
Interval matrix method based synchronization criteria for fractional-order memristive neural networks with multiple time-varying delays.
J. Frankl. Inst., 2020
2019
Aperiodically Intermittent Control for Quasi-Synchronization of Delayed Memristive Neural Networks: An Interval Matrix and Matrix Measure Combined Method.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Switching event-triggered control for global stabilization of delayed memristive neural networks: An exponential attenuation scheme.
Neural Networks, 2019
2018
Global dissipativity and quasi-synchronization of asynchronous updating fractional-order memristor-based neural networks via interval matrix method.
J. Frankl. Inst., 2018
Improved quasi-synchronization criteria for delayed fractional-order memristor-based neural networks via linear feedback control.
Neurocomputing, 2018