Iterative Learning Control with Passive Incomplete Information

This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.-a cutting-edge topic in connection with the practical applications of ILC.

It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model-for both linear ...