Iterative Learning Control over Random Fading Channels

ISBN-13: 9781032646374 / Twarda / 2023 / 352 str.

Xinghuo (Central Queensland University) Yu

Opis

Random fading communication is a type of attenuation damage of data over certain propagation media. Establishing a systematic framework of design and analysis of learning control schemes, the book deeply studies the iterative learning control for stochastic systems with random fading communication. 

Spis treści

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

O autorze

Dong Shen is a Professor at 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 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 several other professional associations.