We study a control architecture for linear timeinvariant plants with random disturbances and where a network is placed between the controller output and the plant input. The network imposes a constraint on the expected bit-rate and is affected by random i.i.d. dropouts. Dropout-rates and acknowledgments of receipt are not available at the controller side. To achieve robustness with respect to i.i.d. dropouts, the controller transmits data packets containing quantized plant input predictions. These are provided by an appropriate optimal entropy coded dithered lattice vector quantizer. Within this context, we derive stochastic stability results and provide a noiseshaping model of the closed loop system. This model is employed for performance analysis by using rate-distortion theory.
IEEE Transactions on Automatic Control Vol. 56, Issue 12, p. 2854-2868