科 系：人工智能系

学历职称：博士/高聘副研究员

导师：硕士研究生导师

联系方式：xueshan@hainanu.edu.cn

个人简介：

薛珊，高聘副研究员，硕士生导师，IEEE会员，CAA会员，海南省高层次人才。发表论文10余篇，其中第一作者SCI论文9篇、高被引论文2篇。担任多个国际学术期刊的审稿人。参与国家自然科学基金3项。

学习和工作经历：

2023.08-至今 海南大学 信息与通信工程学院 高聘副研究员

2019.09-2023.07 华南理工大学 计算机科学与技术 获工学博士学位

硕士招生专业：信息与通信工程、电子信息

研究领域：
◆ 智能控制理论及应用
◆ 自适应动态规划与强化学习
◆ 复杂工业系统建模与控制
◆ 计算智能
◆ 智能信息处理

部分期刊论文：

1. S. Xue, B. Luo, D. Liu, and Y. Gao, “Event-triggered ADP for tracking control of partially unknown constrained uncertain systems,” IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9001–9012, Sept. 2022.

2. S. Xue, B. Luo, D. Liu, and Y. Yang, “Constrained event-triggered H∞ control based on adaptive dynamic programming with concurrent learning,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 1, pp. 357–369, Jan. 2022. (Highly Cited Paper)

3. S. Xue, B. Luo, D. Liu, and Y. Gao, “Adaptive dynamic programming-based event-triggered optimal tracking control,” International Journal of Robust and Nonlinear Control, vol. 31, no. 15, pp. 7480–7497, Oct. 2021.

4. S. Xue, B. Luo, and D. Liu, “Event-triggered adaptive dynamic programming for unmatched uncertain nonlinear continuous-time systems,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 7, pp. 2939–2951, Jul. 2021.

5. S. Xue, B. Luo, D. Liu, and Y. Gao, “Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay,” Neurocomputing, vol. 513, pp. 25–35, Sept. 2022.

6. S. Xue, B. Luo, D. Liu, and Y. Gao, “Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation,” Neural Networks, vol. 152, pp. 212–223, May 2022.

7. Q. Luo, S. Xue, and D. Liu, “Adaptive critic designs for decentralised robust control of nonlinear interconnected systems via event-triggering mechanism,” International Journal of Systems Science, vol. 53, no. 5, pp. 1031–1047, Apr. 2022.

8. G. Wang, B. Luo, and S. Xue, “Integral reinforcement learning-based optimal output feedback control for linear continuous-time systems with input delay,” Neurocomputing, vol. 460, pp. 31–38, Oct. 2021.

9. D. Liu, S. Xue, B. Zhao, B. Luo, and Q. Wei, “Adaptive dynamic programming for control: A survey and recent advances,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, no. 1, pp. 142–160, Jan. 2021. (Highly Cited Paper)

10. S. Xue, B. Luo, and D. Liu, “Integral reinforcement learning based event-triggered control with input saturation,” Neural Networks, vol. 131, pp. 144–153, Nov. 2020.

11. S. Xue, B. Luo, and D. Liu, “Event-triggered adaptive dynamic programming for zero-sum game of partially unknown continuous-time nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 9, pp. 3189–3199, Sept. 2020.

12. S. Xue, B. Luo, D. Liu, and Y. Li, “Adaptive dynamic programming-based event-triggered control for unknown continuous-time nonlinear systems with input constraints,” Neurocomputing, vol. 396, pp. 191–200, Jul. 2020.

13. D. Liu, M. Ha, and S. Xue, “State of the art of adaptive dynamic programming and reinforcement learning,” CAAI Artificial Intelligence Research, vol. 1, no. 2, pp. 93–110, Dec. 2022.

学术兼职：

1. International Conference on Control Science and Systems Engineering (ICCSSE 2023)会议秘书

2. 2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)会议秘书

3. 审稿人

◆ IEEE Transactions on Cybernetics

◆ IEEE Transactions on Industrial Electronics

◆ IEEE Transactions on Neural Networks and Learning Systems

◆ IEEE Transactions on Systems, Mans, and Cybernetics: Systems

◆ IEEE Transactions on Intelligent Vehicles

◆ Artificial Intelligence Review

◆ Neurocomputing

◆ Journal of Dynamic Systems, Measurement and Control

◆ Optimal Control Applications and Methods

◆ IEEE Control Systems Letters