  We study the problem of stabilizing a self-triggered control system with
quantized state measurements. The state of the plant is measured by a
collection of distributed sensors. A self-triggering mechanism determines the
next sampling time from the quantized state, by estimating input errors due to
quantization and aperiodic sampling. We propose an encoding and self-triggering
strategy and derive a sufficient condition for the plant state to exponentially
converge to the origin.
