  We study networked control of non-linear systems where system states and
tentative plant input sequences are transmitted over unreliable communication
channels. The sequences are calculated recursively by using a pre-designed
nominally stabilizing state-feedback control mapping to plant state
predictions. The controller does not require receipt acknowledgments or
knowledge of delay or dropout distributions. For the i.i.d. case, in which case
the numbers of consecutive dropouts are geometrically distributed, we show how
the resulting closed loop system can be modeled as a Markov non-linear jump
system and establish sufficient conditions for stochastic stability.
