Shiyu Dong
Orcid: 0000-0001-9335-9132
According to our database1,
Shiyu Dong
authored at least 21 papers
between 2015 and 2025.
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Bibliography
2025
CoRR, April, 2025
IEEE Trans. Instrum. Meas., 2025
Fuzzy-Based Synchronization Control for Coupled Neural Networks Under Cyber Attacks via Intelligent Impulsive Algorithm.
IEEE Trans Autom. Sci. Eng., 2025
Synchronization of Markovian reaction-diffusion neural networks in complex noise settings: A Time-Space control approach.
Commun. Nonlinear Sci. Numer. Simul., 2025
Relative Localization of Asynchronous Agents Based on Hybrid Active-Passive Two-Way Ranging.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
IEEE Trans. Intell. Transp. Syst., November, 2024
CoRR, 2024
Proceedings of the 18th IEEE International Conference on Control & Automation, 2024
2023
Impulsive-Based Almost Surely Synchronization for Neural Network Systems Subject to Deception Attacks.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control.
Neural Networks, 2023
Waiting Experience: Optimization of Feedback Mechanism of Voice User Interfaces Based on Time Perception.
IEEE Access, 2023
2022
Selection of countermeasure portfolio for shipping safety with consideration of investment risk aversion.
Reliab. Eng. Syst. Saf., 2022
Dynamic event-triggered H∞ control on nonlinear asynchronous switched system with mixed time-varying delays.
J. Frankl. Inst., 2022
Sampled-data stabilization analysis of neural-network-based control systems: A discontinuous bilateral looped-functional approach.
Commun. Nonlinear Sci. Numer. Simul., 2022
Hybrid-Impulses-Based Control for Exponential Stability of Inertial Delayed Neural Networks Using Average Impulsive Gain Strategy.
Proceedings of the 13th Asian Control Conference, 2022
2021
New study on fixed-time synchronization control of delayed inertial memristive neural networks.
Appl. Math. Comput., 2021
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021
2020
Design of <i>H</i><sub>∞</sub> state estimator for delayed static neural networks under hybrid-triggered control and imperfect measurement strategy.
J. Frankl. Inst., 2020
New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication.
Appl. Math. Comput., 2020
2019
Further improved results on non-fragile <i>H</i><sub>∞</sub> performance state estimation for delayed static neural networks.
Neurocomputing, 2019
2015
Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015