ILC for networked control systems with asynchronous multiple data dropouts

A novel approach, switched system approach, is proposed for iterative learning control problem of networked control systems with asynchronous multiple data dropouts. The random data dropout at each time instance is described as an independent binary Bernoulli random variable. The input error is strictly proved to converge to zero in both almost sure and mean square senses.