Process Monitoring, Fault Diagnosis, and Tolerant Control for Complex Industrial Systems A Festschrift in Honor of Professor Steven X. Ding on the Occasion of His Retirement

Prof.
Hao Luo
received the B.E. degree in electrical engineering from Xi’an Jiaotong University, Xi’an, China, in 2007, and the M.Sc. and Ph.D. degrees in electrical engineering and information technology from the University of Duisburg-Essen, Duisburg, Germany, in 2012 and 2016, respectively. He is currently Professor with the School of Astronautics, Harbin Institute of Technology, Harbin, China. His research interests include model-based and data-driven fault diagnosis, fault-tolerant systems, and their plug-and-play application on industrial systems.

Prof.
Zhiwen Chen
received the B.E. degree in electronic information science and technology and the M.Sc. degree in electronic information and technology from Central South University, Changsha, China, in 2008 and 2012, respectively, and the Ph.D. degree in electrical engineering and information technology from the University of Duisburg-Essen, Duisburg, Germany, in 2016. He is currently Professor at Central South University, Changsha, Hunan. His research interests include model-based and data-driven fault diagnosis, process monitoring, machine learning, and its application in industry.

Prof.
Linlin Li
received the B.E. degree in automation from Xi’an Jiaotong University, Xi’an, China, in 2008, the M.E. degree in mechanical systems and control from Peking University, Beijing, China, in 2011, and the Ph.D. degree in automatic control from the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. She is now Professor with the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing. Her research interests include fault diagnosis and fault-tolerant control, fuzzy control, and estimation for nonlinear systems.