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ORCIDChao Yang 0020
Person information
- affiliation (PhD 2010): University of Newcastle Upon Tyne, UK
Other persons with the same name
- Chao Yang — disambiguation page
- Chao Yang 0001
![[0000-0001-7172-7539]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7172-7539")
— Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA - Chao Yang 0002 — Peking University, Beijing, China (and 1 more)
- Chao Yang 0003 — Sun Yat-Sen University, School of Mathematics, Guangzhou, China (and 1 more)
- Chao Yang 0004 — Chinese Academy of Sciences, Institute of Process Engineering, Beijing, China
- Chao Yang 0005 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 2 more)
- Chao Yang 0006 — Yanshan University, Institute of Electric Engineering, Qinhuangdao, China (and 1 more)
- Chao Yang 0007 — China University of Geosciences, National Engineering Research Center of Geographic Information System, Wuhan, China
- Chao Yang 0008 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Chao Yang 0009 — East China University of Science and Technology, Key Laboratory of Advanced Control and Optimization for Chemical Processes, Shanghai, China (and 1 more)
- Chao Yang 0010 — Shenzhen University, College of Information Engineering / Key Laboratory of Spatial Smart Sensing and Services, China
- Chao Yang 0011 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Chao Yang 0012 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Chao Yang 0013 — Tsinghua University, School of Public Policy and Management, Beijing, China (and 1 more)
- Chao Yang 0014 — Guilin University of Electronic Technology, MOE Key Laboratory of Cognitive Radio and Signal Processing, China
- Chao Yang 0015 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 2 more)
- Chao Yang 0016 — Xidian University, School of Cyber Engineering, Xi'an, China
- Chao Yang 0017 — Central South University, School of Information Science and Engineering, Changsha, China
- Chao Yang 0018 — National University of Defense Technology, College of Computer, Changsha, China
- Chao Yang 0019 — Northeastern University, Shenyang, China (and 1 more)
- Chao Yang 0021 — Shanghai University, School of Communication and Information Engineering, Shanghai Institute for Advanced Communication and Data Science, China (and 2 more)
- Chao Yang 0022 — Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
- Chao Yang 0023 — University of Electronic Science and Technology of China, School of Life Science and Technology, Center of Bioinformatics, Chengdu, China
- Chao Yang 0024 — University of Technology Sydney, Australia (and 1 more)
- Chao Yang 0025 — Auburn University, Department of Electrical and Computer Engineering, USA
- Chao Yang 0026 — Tsinghua University, Beijing National Research Center for Information Science and Technology, Institute for Artificial Intelligence, Beijing, China
- Chao Yang 0027 — Southeast University, LEADS, National Mobile Communications Research Laboratory, Nanjing, China
- Chao Yang 0028 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Chao Yang 0029 — Northwest Institute of Nuclear Technology, Xi'an, China (and 1 more)
- Chao Yang 0030 — Marvell Semiconductor, Austin, TX, USA (and 1 more)
- Chao Yang 0031 — Mobvoi Inc., WeNet Open Source Community, Beijing, China
- Chao Yang 0032 — Shanghai University of Engineering Science, School of Mathematics, Physics and Statistics, China (and 1 more)
- Chao Yang 0033 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
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2010 – 2019
- 2010
[b1]Chao Yang:
Speed Sensorless Control for Induction Motor Drives with AI-Based MRAS. University of Newcastle Upon Tyne, UK, 2010
2000 – 2009
- 2008
- [c1]Chao Yang, John W. Finch:
A Comparison of Induction Motor Speed Estimation Using Conventional MRAS and an AI-Based MRAS Parallel System. World Congress on Engineering (Selected Papers) 2008: 75-85
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