Dong Shen is a Professor at the School of Mathematics, Renmin University of China, Beijing, China. His research interests include iterative learning control, stochastic optimization, and distributed artificial intelligence.

Xinghuo Yu is the Distinguished Professor, a Vice-Chancellor's Professorial Fellow, and an Associate Deputy Vice-Chancellor at the Royal Melbourne Institute of Technology (RMIT University), Melbourne, Australia. He is a Fellow of the Australian Academy of Science, an Honorary Fellow of Engineers Australia, and a Fellow of the IEEE and several other professional associations.

1. Introduction SECTION I Known Channel Statistics 2. Learning Control Over Random Fading Channel 3. Tracking Performance Enhancement by Input Averaging 4. Averaging Techniques for Balancing Learning and Tracking Abilities SECTION II Unknown Channel Statistics 5. Gradient Estimation Method for Unknown Fading Channels 6. Iterative Estimation Method for Unknown Fading Channels 7. Learning-Tracking Framework Under Unknown Nonrepetitive Channel Randomness SECTION III Extensions of Systems and Problems 8. Learning Consensus with Faded Neighborhood Information 9. Point-to-Point Tracking with Fading Communications 10. Point-to-Point Tracking Using Reference Update Strategy 11. Multi-Objective Learning Tracking with Faded Measurements