This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view. Its central theme is the understanding of model dynamics, the construction of a procedure for systematic input updating and their contribution to successful algorithm design. The authors discuss the many applications of ILC in industrial systems, applications such as robotics and mechanical testing.The text covers a number of optimal ILC design methods, including gra...

Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKINGIterative Learning Control Algorithms and Experimental BenchmarkingPresents key cutting edge research into the use of iterative learning controlThe book discusses the main methods of iterative learning control (ILC) and its interactions, as well as comparator performance that is so crucial to the end user. The book provides integrat...