Personal Homepage

Personal Information

MORE+

Lecturer

School/Department:自动化系

Education Level:Postgraduate (Doctoral)

Gender:Male

Degree:Doctoral degree

Status:Employed

Alma Mater:中国科学技术大学

Discipline:Control Theory and Engineering

Tao Wang

+

Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:中国科学技术大学

Profile

MORE+

个人研究: 硕士生导师,主要从事人工智能、模型预测控制、事件驱动控制、网络化控制、电力系统等研究已在Automatica、IEEE Transactions on Cybernetics等期刊发表论文8篇,在IEEE Conference on Decision and Control等控制会议发表论文2篇。担任IEEE Transactionson Systems, Man, and Cybernetics: Systems、International Journal of Robust and Nonlinear Control、Journal of Systems Science and Complexity等期刊的审稿人。

团队信息:合肥工业大学康宇教授(副校长、杰出青年基金获得者)带领的团队。团队主要研究领域:人工智能、先进控制、无人机等,拥有多名指导老师,包含教授、副教授及讲师,并与中国科学技术大学先进感知与控制实验室保持长期而紧密的合作。



论文(部分):

1. Tao WangYu Kang*,Pengfei Li, Yun-Bo Zhao, and Hao Tang,“Rolling self-triggered distributed MPC for dynamically coupled nonlinear systems", Automatica, 2023,doi: 10.1016/j.automatica.2023.111444.(控制科学领域顶级期刊)

2. Yu Kang,Tao Wang*, Pengfei Li, Zhenyi Xu, and Yun-Bo Zhao,“Compound event-triggered distributed MPC for coupled nonlinear systems", IEEE Transactions on Cybernetics,2022,doi: 10.1109/TCYB.2020.3019179 .(导师一作,信息科学领域旗舰期刊)

3. Tao Wang, Yu Kang*, Pengfei Li, and Yun-Bo Zhao,“Robust model predictivecontrol for constrained networked nonlinear systems: an approximation-basedapproach", Neurocomputing, vol. 418, pp.56-65, 2020.

4. Tao Wang, Yu Kang*, Pengfei Li, Yun-Bo Zhao, and Peilong Yu,“Robust approximation-based event-triggered MPC for constrained sampled-data systems", Journal of Systems Science and Complexity, vol. 34, no. 6, pp. 2109.2124,2021.

5. Tao Wang, Pengfei Li, Yu. Kang* and Yun-Bo Zhao, Self-triggered model predictive control for perturbed nonlinear systems: an iterative implementation", 60th IEEE Conference on Decision and Control, 2021, pp. 281-1286.(控制科学领域旗舰会议)

6. 王涛,康宇*,李鹏飞,“基于自适应事件触发分布式模型预测控制的多智能体系统跟踪一致性”中国科学: 技术科学.2021.doi:10.1360/SST-2021-0379.

7. Pengfei Li, Tao Wang, Yu Kang*, Kun Li, and Yun-Bo Zhao, “Event-based model predictive control for nonlinear systems with dynamic disturbance", Automatica, 2022,145: 110533.

8. Pengfei Li, Tao Wang, Yu Kang* and Yun-Bo Zhao, “Event-triggered adaptive horizon model predictive control for perturbed nonlinear systems", 59th IEEEConference on Decision and Control, 2020, pp. 2392-2397

9. Pengfei Li, Yu Kang*, Tao Wang, and Yun-Bo Zhao,“Disturbance prediction based adaptive event-triggered model predictive control for perturbed nonlinear systems,” IEEE Transactions on Automatic Control, 2022.doi:10.1109/TAC.2022.3169905(控制科学领域顶级期刊)

10. Pengfei Li, Yu Kang, Yun-Bo Zhao*, and Tao Wang“Networked dual-mode adaptive horizon MPC for constrained nonlinear systems",IEEE Transactionson Systems, Man, and Cybernetics: Systems, vol. 51, no. 12, pp. 7435 -74492021.


科研项目:

1. 多源遥感图像融合技术开发项目, 30万元,2024-10,主持

2. 考虑风光储充协同的区域电网调频响应技术及场景分析,20万元,2024-07,主持

3. 基于模型预测控制的新型电力系统负荷频率控制研究,5万元,2024-04,主持

4. 基于模型预测控制的风光储协同调频方法,3万元,2024-05,主持

5. 高速公路无人机应用场景及关键技术研究,26.4万元,2024-09,参与



专利(部分):

1.  康宇,王涛,李鹏飞,赵云波,吕文君.一种自适应时域的事件触发模型预测控制方法[P].ZL202010479304.6,2020-09-25.

2.  康宇,王涛,刘文清,李鹏飞,曹洋,张玉钧.一种基于循环预测时域的车辆减排预测控制方法[P].ZL 2022 1 0801247.8,2022-07-08.

3.  康宇,李鹏飞,王涛,陈绍冯,吕文君.一种网络化双模自适应时域模型控制方法及系统[P].ZL 202010479297.X,2020-10-27.


学术活动:

1.  2021 第60届控制与决策会议(2021CDC, Austin, Texas, USA,线上会议)参会并作口头报告。

2.  2020 第59届控制与决策会议(2020CDC, Jeju Island, Republic of Korea,线上会议)参会。



招生信息:

  • 1. 欢迎对我个人及团队研究方向感兴趣的(我没名额了,我可以推荐到团队其他老师),热爱科研的同学联系我(qq:1519342093、邮箱:twang@hfut.edu.cn)。

  • 2. 本人主张“快乐科研”,希望能培养你对科研的兴趣(然后有成果产出就更好了,毕竟本人也有KPI要完成)。

  • 3. 项目组科研经费充足,科研氛围活跃(本人感觉是)。

  • 4. 请“只想拿个毕业证,并不想认真科研”的同学勿联系我(因为本人精力有限,再次强调,谢谢)。

  • 5. 当然,如果你有担心(因为我也经历过研究生),可以转到“学生信息”栏目,提前咨询本人在校学生(不是托)。本人坚持“能见光,敢见光”。




  • Educational Experience
  • Work Experience

[1]  2018.9 to 2023.6
中国科学技术大学  | Control Science and Engineering  | Doctoral degree  | Postgraduate (Doctoral)
[2]  2014.9 to 2018.6
哈尔滨工程大学  | 自动化  | Bachelor's degree  | University graduated

No content