Introduction.- Extend Learnable Band and Multi-channel Configuration.- Learnable Bandwidth Extension by Auto-Tunings.- Reverse Time Filtering Based ILC.- Wavelet Transform based Frequency Tuning ILC.- Learning Transient Performance with Cutoff-Frequency Phase-In.- Downsampled ILC.- Cyclic Pseudo-Downsampled ILC.
About the Author: Dr. Danwei Wang received his Ph.D and MSE degrees from the University of Michigan, Ann Arbor in 1989 and 1984, respectively. He received his B.E degree from the South China University of Technology, China in 1982. Now, he is a professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He served as head of Division of Control and Instrumentation from 2005 to 2011. He has served as general chairman, technical chairman and various positions in international conferences. He is an associate editor of International Journal of Humanoid Robotics and invited guest editor of various international journals. He was a recipient of Alexander von Humboldt fellowship, Germany. He has published widely in the areas of iterative learning control, repetitive control, fault diagnosis and failure prognosis, satellite formation dynamics and control, as well as manipulator/mobile robot dynamics, path planning, and control.
Dr. Yongqiang Ye received the B.E. and MEng degrees in electrical engineering from Zhejiang University, China, in 1994 and 1997, respectively, and the Ph.D. degree in electrical engineering from Nanyang Technological University, Singapore, in 2004. From 2006, he had been a Postdoctoral Research Fellow for 3 years in Canada with Lakehead University, Carleton University, and Dalhousie University, respectively. Since 2009, he has been a Professor with the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. He has authored or coauthored more than 24 international journal papers. His research interests include iterative learning control and repetitive control, power electronics control, and image processing. He is a senior member of IEEE.
Dr. Bin Zhang received the B.E. and M.E. degrees from Nanjing University of Science and Technology, Nanjing, China, in 1993 and 1999, respectively, both in Mechanical Engineering, and the Ph.D. degree in Electrical Engineering from Nanyang Technological University, Singapore, in 2005. After his graduation, he joined the School of Electrical and Computer Engineering at Georgia Institute of Technology, Atlanta, GA as a post-doc research fellow. In 2009, he joined Impact Technologies, LLC, Rochester, NY as a senior project engineer and later lead engineer. Then, he joined the R&D of General Motors, Detroit, MI as a senior researcher in 2011. Since 2012, he has been an Assistant Professor in the Department of Electrical Engineering at the University of South Carolina, Columbia, SC. He has about 15 years experience in dynamics and control, intelligent systems, mechatronics, prognostics and health management. He has authored and co-authored more than 80 papers in areas of his expertise. He is currently an Associate Editor for IEEE Transactions on Industrial Electronics, International Journal of Fuzzy Logic and Intelligent Systems. He is a senior member of IEEE.
