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吴涛

发布日期:2026-09-17点击:


教师姓名:吴涛

职    称:讲师(硕导)

系    所:数学系

主要研究领域:复杂系统与复杂网络、强化学习、随机最优控制、人工智能

办公电话:

电子邮件:taowu520136@126.com

教育背景:

2021.03-2025.06, 东南大学数学学院,数学,博士学位(导师:IEEE Fellow曹进德教授)

2024.03-2025.03,Yeungnam University,应用数学系,CSC国家高水平博士联合培养 (导师:韩国科学院院士Ju H. Park教授)

工作经历:

2025.09至今,yl23411永利官网,讲师

代表性学术论著:

1. T. Wu, J. Cao, L. Xiong, J. H. Park, H. -K. Lam, Reinforcement learning for fuzzy structured adaptive optimal control of discrete-time nonlinear complex networks, IEEE Transactions on Fuzzy Systems, 32 (11) (2024) 6035-6043.

2. T. Wu, J. Cao, C. K. Ahn, L. Xiong, Y. Liu, H. -K. Lam, Anti-attack protocol-based synchronization control for fuzzy complex dynamic networks, IEEE Transactions on Fuzzy Systems, 32 (6) (2024) 3433-3443.

3. T. Wu, J. Cao, J. H. Park, K. Shi, L. Xiong, T. Huang, Attack-resilient dynamic event-triggered synchronization of fuzzy reaction-diffusion dynamic networks with multiple cyberattacks, IEEE Transactions on Fuzzy Systems, 32 (2) (2024) 498-509.

4. T. Wu, S. Gorbachev, H. -K. Lam, J. H. Park, L. Xiong, J. Cao, Adaptive event-triggered space-time sampled-data synchronization for fuzzy coupled RDNNs under hybrid random cyberattacks, IEEE Transactions on Fuzzy Systems, 31 (6) (2023) 1855-1869.

5. T. Wu, J. Cao, L. Xiong, J. H. Park, X. Tan, Adaptive event-triggered mechanism to synchronization of reaction-diffusion CVNNs and its application in image secure communication, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53 (9) (2023) 5307-5320.

6. T. Wu, L. Xiong, J. Cheng, X. Xie, New results on stabilization analysis for fuzzy semi-Markov jump chaotic systems with state quantized sampled-data controller, Information Sciences, 521 (2020) 231-250.

7. T. Wu, J. Cao, T. Ma, W. Huang, Z. Zhou, B. Chen, Development of rutting forecasting models for distinct asphalt pavement structures in RIOH testing track using different approaches, Construction and Building Materials, 368 (2023) 130483.

8. T. Wu, L. Xiong, J. Cao, J. H. Park, Hidden Markov model-based asynchronous quantized sampled-data control for fuzzy nonlinear Markov jump systems, Fuzzy Sets and Systems, 432 (2022) 89-110.

9. T. Wu, J. Cao, L. Xiong, H. Zhang, J. Shu, Sampled-data synchronization criteria for Markovian jumping neural networks with additive time-varying delays using new techniques, Applied Mathematics and Computation, 413 (2022) 126604.

10. T. Wu, L. Xiong, J. Cao, J. H. Park, J. Cheng, Synchronization of coupled reaction-diffusion stochastic neural networks with time-varying delay via delay-dependent impulsive pinning control algorithm, Communications in Nonlinear Science and Numerical Simulation, 99 (2021) 105777.

11. T. Wu, J. Cao, L. Xiong, X. Xie, New results on stability analysis and extended dissipative conditions for uncertain memristive neural networks with two additive time-varying delay components and reaction-diffusion terms, International Journal of Robust and Nonlinear Control, 30 (16) (2020) 6535-6568.

12. T. Wu, J. H. Park, L. Xiong, X. Xie, H. Zhang, A novel approach to synchronization conditions for delayed chaotic Lur’e systems with state sampled-data quantized controller, Journal of the Franklin Institute, 357 (2020) 9811-9833.

13. T. Wu, L. Xiong, J. Cao, H. Zhang, Stochastic stability and extended dissipativity analysis for uncertain neutral systems with semi-Markovian jumping parameters via novel free-matrix-based integral inequality, International Journal of Robust and Nonlinear Control, 29 (9) (2019) 2525-2545.

14. T. Wu, L. Xiong, J. Cao, X. Xie, Almost surely asymptotic synchronization for stochastic neural networks of neutral type with Markovian jumping parameters, International Journal of Adaptive Control and Signal Processing, 33 (10) (2019) 1524-1551.

15. T. Wu, L. Xiong, J. Cao, Z. Liu, H. Zhang, New stability and stabilization conditions for stochastic neural networks of neutral type with Markovian jumping parameters, Journal of the Franklin Institute, 355 (2018) 8462-8483.

16. J. Zhang, J. Cao, T. Wu, W. Huang, T. Ma, X. Zhou, A novel adaptive multi-scale Rényi transfer entropy based on kernel density estimation, Chaos, Solitons and Fractals, 175 (2023) 113972.

代表性教学科研项目:

1. 云南省教育厅青年人才专项,2026.03-2028.02,4万元,在研,主持

2. 国家自然科学基金重点项目,基于群体智能的分布式优化理论、方法及应用研究,2019.01-2023.12,285万元,结题,参与

3. 国家重点研发计划项目,全寿命沥青路面时空演化数学模型构建与结构优化智能算法设计,2020.12-2025.11,109万元,结题,参与

4. 国家自然科学基金地区基金项目,具有马尔科夫类跳变的中立型神经网络的稳定性分析与控制器设计研究,2020.01-2024.12,32万元,结题,参与

主要学术任职:

长期担任IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Cybernetics、IEEE Transactions on Systems, Man, and Cybernetics: Systems等国际权威期刊的审稿人。



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