ILC for networked discrete systems with random data dropouts: A switched system approach

A novel approach, switched system approach, is proposed for iterative learning control problem of networked control systems with random data dropouts. The random data dropout is described as three different forms, namely, a random sequence, a binary Bernoulli random variable, and a Markov chain, respectively. The tracking error is strictly proved to converge to zero in expectation sense, mean square sense, and almost sure sense.