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ORCIDPan Wang 0013
Person information
- affiliation: Fudan University, Academy for Engineering and Technology, Shanghai, China
Other persons with the same name
- Pan Wang — disambiguation page
- Pan Wang 0001
![[0000-0003-2006-1129]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2006-1129")
— Nanjing University of Post and Telecommunications, NJUPT, School of Modern Posts, China (and 2 more) - Pan Wang 0002 — Northwestern Polytechnical University, School of Mechanics, Civil Engineering and Architecture, School of Aeronautics, Xi'an, China
- Pan Wang 0003 — Tsinghua University, Institute of Microelectronics, Beijing, China
- Pan Wang 0004 — Xi'an Jiaotong University, School of Information and Communications Engineering, China
- Pan Wang 0005 — Delft University of Technology, Industrial Design Engineering, Netherlands (and 1 more)
- Pan Wang 0006 — Purple Mountain Laboratories, Ubiquitous Communication Research Center, Nanjing, China
- Pan Wang 0007 — Huazhong University of Science and Technology, State Key Laboratory of Digital Manufacturing Equipment and Technology, China
- Pan Wang 0008 — Peking University, Institute of Digital Media, Video Coding Laboratory, PKU-IDM-VCL, Beijing, China (and 1 more)
- Pan Wang 0009 — Wuhan University of Technology, School of Automation, Institute of Systems Science and Engineering, China
- Pan Wang 0010 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China
- Pan Wang 0011 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Pan Wang 0012 — Huaqiao University, College of Computer Science and Technology, Xiamen, Fujian, China
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2020 – today
- 2021
[j1]Pan Wang, Yunlang Xu, Runze Ding, Weike Liu, Steve Shu, Xiaofeng Yang:
Multi-Kernel Neural Network Sliding Mode Control for Permanent Magnet Linear Synchronous Motors. IEEE Access 9: 57385-57392 (2021)- [c1]Zidong Liu, Yunlang Xu, Pan Wang, Xiaofeng Yang, Zhi Li, Feng Shu:
Fractional-Order Sliding Mode Control with Adaptive Neural Network for High-Precision Position Control of Reluctance Actuators. IECON 2021: 1-6
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