董诗雨

作者: 时间:2024-09-19 点击数:

董诗雨

副研究员,硕士生导师

电子邮箱:

dsy_shiyu@163.com

办 公 室:

郑州大学电气与信息工程学院3307室

研究方向:

复杂动态网络性能分析、智能控制、多智能体系统协同控制

教育背景

Ø2019/09-2023/12,电子科技大学,控制科学与工程专业,博士

Ø2023/02-2024/02,  韩国科学技术院 (KAIST),联合培养博士

Ø2021/11-2022/12,  加拿大滑铁卢大学,联合培养博士

Ø2017/09-2019/06, 电子科技大学,应用数学专业,硕士

Ø2013/09-2017/06,  阜阳师范大学,信息与计算科学专业,学士

工作经历

Ø2024/04-2025/12,郑州大学,电气与信息工程学院,副研究员(直聘)

Ø2025/12-至今,郑州大学,电气与信息工程学院,副研究员

学术兼职

Ø担任IEEE Transactions on Automation Control、IEEE Transactions on Cybernetics、 IEEE Transactions on Neural Networks and Learning Systems、Neural Networks,CDC等多个国际知名SCI期刊和会议审稿人。

奖励与荣誉

Ø河南省高层次人才D类.

Ø2026年,中国机器人大赛暨RoboCup机器人世界杯中国赛国家三等奖,全国三等奖,指导老师

Ø2025年,第十九届iCAN大学生创新创业大赛,全国三等奖,优秀指导老师

Ø四川省优秀毕业生,2023.12.

Ø国家公派留学奖学金&国家奖学金,2016&2022.

Ø电子科技大学优秀毕业生&优秀博士毕业论文,电子科技大学,2023.12.

科研项目

Ø主持国家自然科学基金青年项目,62406291,2025.01-2027.12.

Ø主持中国博士后科学基金第18批特别资助,2025T180464,2025.08-2027.07.

Ø主持国家资助博士后研究人员计划(C类),GZC20241547,2024.08-2026.07.

Ø主持中国博士后科学基金第76批面上资助,2024M762970,2024.11-2026.10.

Ø主持“中原英才计划”——中原青年拔尖人才(中原青年博士后创新人才)项目,2025.02-2027.01.

Ø参与国家自然科学基金面上项目,62476254, 2025.01-2028.12.

代表文章

[1].董诗雨, 朱宏, 张榆平. 基于脉冲效应的动态网络系统的同步性分析, 2025. (中文学术专著)

[2].S. Dong, J. Liang, K. Shi, M. Yu, J. Cao, H. Yan. Error estimation for quasi-synchronization of multilayer dynamical networks: A pinning delayed impulsive control scheme, IEEE Transactions on Cybernetics, 2026, 56(1): 135-147. (SCI, 中科院一区Top)

[3].S. Dong, Y. Ren, J. Liang, P. Chen, H. Yan. Resilient Finite-Time Distributed Secondary Control of DC Microgrids Against Impulsive Cyberattacks, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2026. Accept. (SCI, 中科院一区Top)

[4].S. Dong, J. Liang, Y. Li, D. Yang, J. Meng. Secure State of Charge Estimation for Lithium-Ion Battery: An Impulsive-Driven-Based Observer Approach, IEEE Transactions on Transportation Electrification, 2026, 12(2): 2446-2456. (SCI, 中科院一区Top)

[5].S. Dong, H. Zhu, S. Zhong, K. Shi, J. Lu. Impulsive-based almost surely synchronization for neural network systems subject to deception attacks, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34 (5): 2298-2307. (SCI, 中科院一区Top)

[6].S. Dong, K. Shi, X. Xie, M. Yu, H. Yan, X. Cai. Fuzzy-Based Synchronization Control for Coupled Neural Networks Under Cyber Attacks via Intelligent Impulsive Algorithm, IEEE Transactions on Automation Science and Engineering, 2025, 22: 10574-10585. (SCI, 中科院一区Top)

[7].D. Xu, K. Xu, S. Dong*. Pinning Truncated Discrete Observation Stabilization of Large-Scale Cyber-Physical Systems under Asynchronous Attacks, IEEE Transactions on Industrial Cyber-Physical Systems, 2026. Accept.

[8].K. Chen, Y. Ren, S. Dong*. Distributed hybrid secondary control of DC microgrids with sparse communication networks, Communications in Nonlinear Science and Numerical Simulation, 2026. Accept. (SCI, 中科院一区)

[9].S. Dong, X. Liu, S. Zhong, K. Shi, H. Zhu. Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control, Neural Networks, 2023, 157: 54-64. (SCI, 中科院一区Top)

[10].S. Dong, K. Shi, S. Wen, S. Zhong. Almost surely synchronization of directed coupled neural networks via stochastic distributed delayed impulsive control, Chaos, Solitons & Fractals, 2023, 174: 113742. (SCI, 中科院一区)

[11].S. Dong, H. Zhu, S. Zhong, K. Shi, Y. Liu. New study on fixed-time synchronization control of delayed inertial memristive neural networks, Applied Mathematics and Computation, 2021, 399: 126035. (SCI, 中科院一区Top, ESI高被引论文)

[12].S. Dong, H. Zhu, S. Zhong, K. Shi, Z. Zhang. Sampled-data stabilization analysis of neural-network-based control systems: A discontinuous bilateral looped-functional approach, Communication in Nonlinear Science and Numerical Simulation, 2022, 111: 106446. (SCI, 中科院一区Top)

[13].S. Dong, H. Zhu, S. Zhong, K. Shi, J. Cheng, W. Kang. New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication, Applied Mathematics and Computation, 2020, 364,: 124619. (SCI, 中科院一区Top)

[14].S. Dong, H. Zhu, S. Zhong, K. Shi, Y. Zeng. Hybrid control strategy of delayed neural networks and its application to sampled-data systems: an impulsive-based bilateral looped-functional approach, Nonlinear Dynamics, 2021, 105: 3211-3223. (SCI, 中科院二区Top)

[15].S. Dong, H. Zhu, Y. Zhang, S. Zhong, J. Cheng, K. Shi. Design of H∞ state estimator for delayed static neural networks under hybrid-triggered control and imperfect measurement strategy, Journal of the Franklin Institute, 2020, 357 (17): 13231-13257. (SCI, 中科院二区)

[16].S. Dong, S. Zhong, K. Shi, W. Kang, J. Cheng. Further improved results on non-fragile H∞ performance state estimation for delayed static neural networks, Neurocomputing, 2020, 356 (3): 9-20. (SCI, 中科院二区Top)

[17].X. Zhao, H. Chen, Z. Zhang, S. Dong, S. Zhong, Z. You. Dynamic event-triggered H∞ control on nonlinear asynchronous switched system with mixed time-varying delays, Journal of the Franklin Institute, 2022, 359 (1): 520-555, 2022. (SCI, 中科院二区)

[18].S. Dong, H. Zhu, K. Shi, S. Zhong, Y. Zhang. Hybrid-impulses-based control for exponential stability of inertial delayed neural networks using average impulsive gain strategy, 13th Asian Control Conference (ASCC), 2022. (EI, 口头报告,韩国济州)


专利

[1].董诗雨, 任雨珠, 等. 一种针对脉冲型FDI攻击的直流微电网有限时间分布式二次控制方法,申请号:2026108934587(实质审查)

[2].董诗雨, 刘孟琦, 等.一种基于脉冲采样的攻击感知型直流微电网分布式二次控制方法,申请号:2026111019521 (实质审查)

其他信息

Ø    本人长期从事控制理论相关研究。请感兴趣的学生与本人联系。

Ø本人与本领域专家学者们保持着较好的合作交流,可根据需要帮助学生赴国外或境外单位进行学术交流、访问学习或攻读学位,进一步提高国际化视野和背景,欢迎打算出国深造的学生与本人联系。

Ø热忱欢迎本科阶段学生、硕士生与本人联系,一块合作探讨相关领域研究;本人非常愿意为学生参加一系列创新系列实践大赛(例如中国大学生和研究生数学建模竞赛)提供帮助与指导。


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