电子照片
基本信息
研究领域：迭代学习控制、智能控制、智能计算
办公地点：电子信息楼
办公电话：020-39337449
电子邮箱: weiys@fbguess.com
个人简介
韦蕴珊，工学博士，副教授。2017年毕业于中山大学信息与通信工程专业，获工学博士学位。主要研究方向为迭代学习控制，智能控制与智能计算。近年，以第一作者发表学术论文十余篇，获中国授权发明专利和国际专利若干项。
教育经历
2013-2017 中山大学 信息与通信工程 博士
职业经历
2020-至今 广州大学 足球竞猜平台
讲师/副教授
2017-2020 广州大学 机械与电气工程学院 讲师
教授课程
《矩阵论》、《电路》、《数字电子技术》、《数字电路与逻辑设计》、《电工电子学》、《电工与电子技术》等。
研究成果
近年发表的学术论文：
[1] Y. S. Wei and X. D. Li*. Robust iterative learning control for linear continuous systems with vector relative degree under varying input trail lengths and random initial state shifts. International Journal of Robust and Nonlinear Control. 2021. 31(2). 609-622. (SCI, Q1)
[2] Y. S. Wei, X. Yang, W. Shang*, and Y. Y. Chen, Higher-order iterative learning control with optimal control gains based on evolutionary algorithm for nonlinear system. Complexity. DOI: 10.1155/2021/4281006. (SCI, Q2)
[3] Yun-Shan Wei, Kai Wan, Xuejing Lan*, “Open-closed-loop iterative learning control for linear systems with iteratively variable trail lengths”, IEEE Access, 2019, 7: 132619-132627. (SCI, Q1)
[4] Yun-Shan Wei, Kai Wan, Qing-Yuan Xu*, “Design of adaptive ILC for 2-D FMM systems with unknown control directions”, IEEE Access, 2019, 7: 134920-134925. (SCI, Q1)
[5] Yun-Shan Wei, Qing-Yuan Xu*, “Iterative learning control for linear discrete-time systems with randomly variable input trail length”, Complexity, DOI: 10.1155/2018/2763210. (SCI, Q1)
[6] Yun-Shan Wei, Xiao-Dong Li*, “Robust higher-order ILC for non-linear discrete-time systems with varying trail lengths and random initial state shifts”, IET Control Theory & Applications, 2017, 11(15): 2440-2447. (SCI, Q1)
[7] Yun-Shan Wei, Xiao-Dong Li*, “Varying trail lengths based iterative learning control for linear discrete-time systems with vector relative degree”, International Journal of Systems Science, 2017, 48(10): 2146-2156. (SCI, Q1)
[8] Yun-Shan Wei, Xiao-Dong Li*, “Iterative learning control for linear discrete-time systems with high relative degree under initial state vibration”, IET Control Theory & Applications, 2016, 10(10): 1115-1126. (SCI, Q1)
[9] Xuejing Lan, Wenbiao Xu, Yun-Shan Wei*, “Adaptive 3D distance-based formation control of multi-agent systems with unknown leader velocity and coplanar initial positions”, Complexity, DOI: 10.1155/2018/1814653. (SCI, Q1)
[10] Kai Wan and Yun-Shan Wei*. Adaptive ILC of tracking nonrepetitive trajectory for two-dimensional nonlinear discrete time-varying Fornasini-Marchesini systems with iteration-varying boundary states. International Journal of Control, Automation and Systems. 2021. 19(1). 417-425. (SCI, Q2)
[11] Y. S. Wei*, Z. B. Weng, and T. F. Xiao. Open-closed-loop iterative learning control for discrete-time systems with vector relative degree under iterative varying duration. 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). Liuzhou. 2020. 1240-1245. (EI)
[12] Yun-Shan Wei*, Kai Wan, “An iterative learning controller for continuous systems with variable iteration interval”, 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), Dali, 208-212, 2019. (EI)
[13] Yun-Shan Wei*, Chao-Lun Wang, “Iterative learning control for linear continuous-time systems with vector relative degree under varying trail length”, 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS), Enshi, 256-261, 2018. (EI)
[14] Yun-Shan Wei, Xiao-Dong Li*, “PID and EPID types of iterative learning control based on evolutionary algorithm”, Proceedings of the 33rd Chinese Control Conference (CCC), Nanjing, 8889-8894, 2014. (EI)
科研服务
近年主持国家青年科学基金1项（时间：2020-2022）、广州市科技计划一般项目1项（时间：2019-2021）、广东省普通高校青年创新人才项目1项（时间：2019-2020）；作为主要参与人（前三）参与国家青年科学基金1项（时间：2019-2021）、广州市教育局高校科研青年人才科研项目1项（时间：2019-2020）。
发明专利
1.韦蕴珊，陈颖宇，许清媛，万凯，赵志甲. 针对机器鱼的高阶迭代自学习控制方法、装置及存储介质，专利号：ZL202110545908.0，授权公告日: 2022-03-25。
2.韦蕴珊，翁志斌，赵志甲，许清媛，万凯. 一种针对高相对度压电电机的开闭环迭代学习控制方法，专利号：ZL202010342819.1，授权公告日: 2021-04-23。
3.韦蕴珊，陈颖宇，赵志甲，许清媛，万凯. 一种基于迭代学习的压电电机节能控制方法，专利号：ZL202010090671.7，授权公告日：2021-04-20。
4.Y. S. Wei, Y. Y. Chen, Z. Zhao, Q. Xu, and K. Wan. Iterative learning-based energy-saving control method for piezoelectric motor. Number: PCT/CN2020/127712，Date：2020-11-10。
5.Y. S. Wei, Z. Weng, Z. Zhao, Q. Xu, and K. Wan. Open-closed-loop iterative learning control method for piezoelectric motor with high relative degree. Patent Number: 2021101240，Date：2020-04-27。
