Zhiqiang Long received the B.S. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 1988, the M.S. degree in flight mechanics from Harbin Institute of Technology, Harbin, China, in 1991, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2010. Currently, he works with National University of Defense Technology as Professor and Head Research Engineer of the Engineering Research Center of Maglev Technology. His research interests include magnetic levitation control, fault diagnosis, tolerant control for maglev trains, new maglev technology, etc.He is Technical Expert in the medium- and low-speed and high-speed maglev in China, an expert of the 863 professional groups of China's Tenth Five-year Plan, and Chief Designer of the maglev technology orientation of the National University of Defense Technology. Zhiqiang Wang received the B.S. degree in automation from Beijing Institute of Technology, Beijing, China, in 2012, M.S. and Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2014 and 2019, separately. He was also with Institute for Automatic Control and Complex Systems at the University of Duisburg-Essen, Duisburg, Germany, from 2017 to 2018. His research interests include fault diagnosis and fault-tolerant control for maglev trains. Mingda Zhai received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2013, the M.S. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2015, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2019. His research interests include magnetic levitation control, performance monitoring and optimization, new maglev technology etc. Xiaolong Li received his B.S. in Automation from the National University of Defense Technology in 2002 and his Ph.D. in Control Science and Engineering from the National University of Defense Technology in 2010. Currently, he is Associate Researcher at the Engineering Research Center for Magnetic Levitation Technology at the National University of Defense Technology. He is mainly engaged in the engineering of maglev trains and researching new maglev technology.

• Introduction.- Technology analysis of EMS high-speed maglev system.- Controller design of high-speed maglev train levitation system.- Controller design of high-speed maglev train guidance system.- Performance evaluation of levitation control system.- Performance evaluation of guidance control system.- Control Technology of High-Speed PEM Hybrid Levitation System.- Fault Diagnosis of High-Speed PEM Hybrid Levitation System.- Fault Tolerant Control of High-Speed PEM Hybrid Levitation System.

Zhiqiang Long received the B.S. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 1988, the M.S. degree in flight mechanics from Harbin Institute of Technology, Harbin, China, in 1991, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2010. Currently, he works with National University of Defense Technology as Professor and Head Research Engineer of the Engineering Research Center of Maglev Technology. His research interests include magnetic levitation control, fault diagnosis, tolerant control for maglev trains, new maglev technology, etc.He is Technical Expert in the medium- and low-speed and high-speed maglev in China, an expert of the 863 professional groups of China's Tenth Five-year Plan, and Chief Designer of the maglev technology orientation of the National University of Defense Technology. Zhiqiang Wang received the B.S. degree in automation from Beijing Institute of Technology, Beijing, China, in 2012, M.S. and Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2014 and 2019, separately. He was also with Institute for Automatic Control and Complex Systems at the University of Duisburg-Essen, Duisburg, Germany, from 2017 to 2018. His research interests include fault diagnosis and fault-tolerant control for maglev trains. Mingda Zhai received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2013, the M.S. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2015, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2019. His research interests include magnetic levitation control, performance monitoring and optimization, new maglev technology etc. Xiaolong Li received his B.S. in Automation from the National University of Defense Technology in 2002 and his Ph.D. in Control Science and Engineering from the National University of Defense Technology in 2010. Currently, he is Associate Researcher at the Engineering Research Center for Magnetic Levitation Technology at the National University of Defense Technology. He is mainly engaged in the engineering of maglev trains and researching new maglev technology.

• Introduction.- Technology analysis of EMS high-speed maglev system.- Controller design of high-speed maglev train levitation system.- Controller design of high-speed maglev train guidance system.- Performance evaluation of levitation control system.- Performance evaluation of guidance control system.- Control Technology of High-Speed PEM Hybrid Levitation System.- Fault Diagnosis of High-Speed PEM Hybrid Levitation System.- Fault Tolerant Control of High-Speed PEM Hybrid Levitation System.

Zhiqiang Long received the B.S. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 1988, the M.S. degree in flight mechanics from Harbin Institute of Technology, Harbin, China, in 1991, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2010. Currently, he works with National University of Defense Technology as Professor and Head Research Engineer of the Engineering Research Center of Maglev Technology. His research interests include magnetic levitation control, fault diagnosis, tolerant control for maglev trains, new maglev technology, etc.He is Technical Expert in the medium- and low-speed and high-speed maglev in China, an expert of the 863 professional groups of China's Tenth Five-year Plan, and Chief Designer of the maglev technology orientation of the National University of Defense Technology. Zhiqiang Wang received the B.S. degree in automation from Beijing Institute of Technology, Beijing, China, in 2012, M.S. and Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2014 and 2019, separately. He was also with Institute for Automatic Control and Complex Systems at the University of Duisburg-Essen, Duisburg, Germany, from 2017 to 2018. His research interests include fault diagnosis and fault-tolerant control for maglev trains. Mingda Zhai received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2013, the M.S. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2015, and the Ph.D. degree in control science and engineering from National University of Defense Technology, Changsha, China, in 2019. His research interests include magnetic levitation control, performance monitoring and optimization, new maglev technology etc. Xiaolong Li received his B.S. in Automation from the National University of Defense Technology in 2002 and his Ph.D. in Control Science and Engineering from the National University of Defense Technology in 2010. Currently, he is Associate Researcher at the Engineering Research Center for Magnetic Levitation Technology at the National University of Defense Technology. He is mainly engaged in the engineering of maglev trains and researching new maglev technology.

• Introduction.- Technology analysis of EMS high-speed maglev system.- Controller design of high-speed maglev train levitation system.- Controller design of high-speed maglev train guidance system.- Performance evaluation of levitation control system.- Performance evaluation of guidance control system.- Control Technology of High-Speed PEM Hybrid Levitation System.- Fault Diagnosis of High-Speed PEM Hybrid Levitation System.- Fault Tolerant Control of High-Speed PEM Hybrid Levitation System.