2008.09-2012.06 东南大学物理系 本科

2012.08-2017.12 东南大学自动化学院 博士

2014.09-2016.09 美国罗德岛大学 联合培养博士生

IEEE Computational Intelligence Society ADP and Reinforcement Learning Technical Committee member

中国自动化学会人工智能与机器人教育专委会秘书长

中国自动化学会女科技工作者工作委员会委员

中国自动化学会青年工作委员会委员

中国自动化学会自适应动态规划与强化学习专委会委员

中国指挥与控制学会无人系统专委会委员

人工智能，深度强化学习，无人集群通信，多智能体协同控制

现任东南大学网络空间安全学院副研究员、博导，近年来主要从事强化学习、自适应动态规划、多智能体系统协同控制等方面的研究，共发表四十余篇SCI/EI论文，相关成果发表在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Cybernetics 等本领域国际顶级期刊和重要学术会议上，相关核心技术正在申请国家发明专利5项，已登记软件著作权1项，曾获中国自动化学会科技进步一等奖1项（排名4），2019年江苏省优秀博士学位论文等。

9.科技创新2030-“新一代人工智能”重大项目，人机增强的大规模多智能体强化学习理论与应用研究，在研

8.国家自然科学基金，面上项目，基于迁移强化学习的多自主体博弈策略研究，在研

7.国家自然科学基金，专项项目，疫情病房防控多机器人协同作业关键技术研究，结题

6.国家自然科学基金，青年科学基金项目，事件驱动的非线性网络控制系统自适应优化控制策略研究，结题

5.广东省智能决策与协同控制重点实验室开放课题，基于深度强化学习的移动机器人智能决策，结题

4.国家自然科学基金，专项项目，《自动化学科发展战略研究报告（2021-2025）》研究，结题

3.国家自然科学基金，联合基金重点项目，机器人集群的智能协同控制理论与方法，结题，参加

2.国家自然科学基金，国际 (地区) 合作与交流项目，多智能体事件驱动分布式优化控制，结题，参加

1.国家自然科学基金，重点基金项目，大规模无人机集群智能组网理论与技术，在研，参加

2020年中国自动化学会科技进步一等奖第四完成人

2019年江苏省优秀博士论文

2018年首届ABB杯全国智能技术论文大赛二等奖

1.大二必修课《网络空间安全数学基础》

2.大三选修课《强化学习技术与方法》

25.C.Song,Z.He, and L.Dong.A Local-and-Global Attention Reinforcement Learning Algorithm for Multiagent Cooperative Navigation.IEEE Trans. Neural Networks and Learning Systems, in press, SCI indexed.

24.N.Qiao,L.Dong,and C.Sun. Adaptive Deep Learning Network With Multi-Scale and Multi-Dimensional Features for Underwater Image Enhancement.IEEE Trans. Broadcasting, in press, SCI indexed.

23.Z. He, L. Dong, C.Song, and C. Sun. Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots.IEEE Trans. Neural Networks and Learning Systems, in press, SCI indexed.

22.W.Liu,L.Dong,D.Niu, and C.Sun. Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features. IEEE/CAA Journal of Automatica Sinica, 2022, 9(9): 1673-1686.

21.L. Dong, J. Yan, X. Yuan, H. He, and C. Sun. Functional nonlinear model predictive control based on adaptive dynamic programming. IEEE Trans. Cybernetics, 2019, 49(12): 4206-4218. IF: 11.079, SCI indexed.

20.L. Dong, X. Yuan, and C. Sun. Event-triggered receding horizon control via actor-critic design. SCIENCE CHINA Information Sciences, 2020, 63(5): 150210. IF:3.304, SCI indexed.

19.L. Dong, X. Zhong, C. Sun, and H. He. Event-triggered adaptive dynamic programming for continuous-time systems with control constraints. IEEE Trans. Neural Networks and Learning Systems, 2017, 28(8): 1941-1952. IF:8.793, SCI indexed.

18.L. Dong, X. Zhong, C. Sun, and H. He. Adaptive event-triggered control based on heuristic dynamic programming for nonlinear discrete-time systems.IEEE Trans. Neural Networks and Learning Systems, 2017, 27(7): 1594-1605. IF:8.793, SCI indexed.

17.L. Dong, Y. Tang, H. He, and C. Sun. An event-triggered approach for load frequency control with supplementary ADP. IEEE Trans. Power Systems, 2017, 32(1): 581-589. IF:6.074, SCI indexed.

16.Y. Jia, K. Meng, L. Dong, T. Liu, C. Sun, and Z. Dong. Economic Receding Horizon Control of a Point Absorber Wave Energy Converter. IEEE Trans. Sustainable Energy, 2021,12(1):578-586. IF: 7.44, SCI indexed.

15.Y. Ouyang, L. Dong, L. Xue, and C. Sun. Adaptive Control Based on Neural Networks for an Uncertain 2-DOF Helicopter System With Input Deadzone and Output Constraints. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 6(3): 807-815. IF: 5.129, SCI indexed.

14.Y. Wang, L. Dong, and C. Sun. Cooperative control for multi-player pursuit-evasion games with reinforcement learning. NEUROCOMPUTING, 2020, 412: 101-114. IF:4.438, SCI indexed.

13.Y. Ouyang, L. Dong, Y. Wei, and C. Sun. Neural network based tracking control for an elastic joint robot with input constraint via actor-critic design. NEUROCOMPUTING, 2020, 409: 286-295. IF: 4.438, SCI indexed.

12.C. Sun, W. Liu, and L. Dong. Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems. IEEE Trans. Neural Networks and Learning Systems, 2021,32(15):2054-2065. IF:8.793, SCI indexed.

11.Y. Ouyang, L. Dong, and C. Sun. Critic Learning-Based Control for Robotic Manipulators With Prescribed Constraints. IEEE Trans. Cybernetics, available online, DOI:10.1109/TCYB.2020.3003550. IF: 11.079, SCI indexed.

10.X. Yuan, L. Dong, and C. Sun. Solver-Critic: A Reinforcement Learning Method for Discrete-Time-Constrained-Input Systems. IEEE Trans. Cybernetics, available online, DOI:10.1109/TCYB.2020.2978088. IF: 11.079, SCI indexed.

9.Z. He, L. Dong, C. Sun, and J. Wang. Asynchronous Multithreading Reinforcement-Learning-Based Path Planning and Tracking for Unmanned Underwater Vehicle. IEEE Trans. Systems, Man, and Cybernetics: Systems, 2021,52(5):2757-2769. IF: 9.309, SCI indexed.

8.L. Dong, J. Li, W. Yang, and C. Sun. Robust optimal control for time-delay systems with dynamic uncertainties via ADP. IJCNN2017, May 2017, Anchorage, USA, EI indexed.

7.L. Dong, C. Sun, and H. He. Dual heuristic dynamic programming based event-triggered control for nonlinear continuous-time systems. WCCI2016, Jul 2016, Vancouver, Canada, EI indexed.

6.L. Dong, X. Zhong, C. Sun, and H. He. Predictive event-triggered control based on heuristic dynamic programming for nonlinear continuous-time systems.IJCNN2015, Jul 2015, Killarney, Ireland, EI indexed.

5.Z. He, L. Dong, C. Sun, and J. Wang. Reinforcement Learning Based Multi-robot Formation Control Under Separation Bearing Orientation Scheme. CAC2020, Nov 2020, Shanghai, China, EI indexed.

4.G. Cheng and L. Dong. Optimal Control for Robotic Manipulators with Input Saturation Using Single Critic Network. CAC2019, Nov 2019, Hangzhou, China, EI indexed.

3.X. Zhu and L. Dong. Online Learning Cooperative Control for Heterogeneous Multi-Agent Systems. CAC2019, Nov 2019, Hangzhou, China, EI indexed.

2.Y. Wang, J. Sun, Q. Wang and L. Dong. Distributed formation control for multi-quadrotor system. CCC2019, Jul 2019, Guangzhou, China, EI indexed.

1.Y. Zheng, L. Dong, and Q. Wang. Multi-rotor UAV attitude calculation based on Extended Kalman Filter. CCDC2018, Jun 2018, Shenyang, China, EI indexed.

欢迎强化学习、无线通信、群体智能等相关领域的优秀学生报考本课题组的硕士、博士研究生，请将个人简历发送至邮箱ldong90 at seu dot edu dot cn