Introduction.- Averaging and Expectation Techniques for Linear DT Systems.- Lifting Techniques for Linear DT Systems.- Moving Averaging Techniques for Linear DT Systems.- Switching System Techniques for Linear DT Systems.- Moving Averaging Tehcniques for Nonlinear CT Systems.- Modified Lambda-Norm Techniques for Nonlinear DT Systems.- Sampled-Data Control Techniques for Nonlinear CT Systems.- CEF Techniques for Parameterized Nonlinear CT Systems.- CEF Techniques for Nonparameterized Nonlinear CT Systems.- Summary and Future Research Directions.- Appendix.

Dong SHEN received his B.S. degree in mathematics from Shandong University, Jinan, China, in 2005, and his Ph.D. degree in mathematics from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), Beijing, China, in 2010. From 2010 to 2012, he was a postdoctoral fellow at the Institute of Automation, CAS, and since 2012 he has been with the College of Information Science and Technology, Beijing University of Chemical Technology (BUCT), Beijing, China, where he now is a professor. He was a visiting scholar at the National University of Singapore from 2016 to 2017. His current research interests include iterative learning control, stochastic control and optimization. He has published more than 60 refereed journal and conference papers, and is the author of Iterative Learning Control with Passive Incomplete Information (Springer, 2018) and Stochastic Iterative Learning Control (Science Press, 2016, in Chinese), co-author of Iterative Learning Control for Multi-Agent Systems Coordination (Wiley, 2017), and co-editor of Service Science, Management and Engineering: Theory and Applications (Academic Press and Zhejiang University Press, 2012). Dr. Shen received the IEEE CSS Beijing Chapter Young Author Prize in 2014 and the Wentsun Wu Artificial Intelligence Science and Technology Progress Award in 2012.

Xuefang LI received her B.Sc. and M.Sc. degrees in mathematics from Sichuan University, Chengdu, China, in 2009 and 2012, respectively. She received her Ph.D. degree in control engineering from the National University of Singapore, Singapore, 2016. In 2016 she joined Imperial College London as a research associate and is currently working on control and energy management of hybrid electric vehicles. Her research interests include learning control and its applications, robotic motion control, and optimal control of hybrid electric vehicles. She has published more than 30 refereed journal and conference papers. In addition, she is a co-author of Iterative Learning Control for Multi-Agent Systems Coordination (Wiley, 2017). Dr. Li was the recipient of the ICCAS outstanding paper award in 2013, the President's Graduate Fellowships of Singapore in 2014 and the Chinese Government Award for Outstanding Students Abroad in 2015.