  In this paper, we propose a new self-triggered formulation of Model
Predictive Control for continuous-time linear networked control systems. Our
control approach, which aims at reducing the number of transmitting control
samples to the plant, is derived by parallelly solving optimal control problems
with different sampling time intervals. The controller then picks up one
sampling pattern as a transmission decision, such that a reduction of
communication load and the stability will be obtained. The proposed strategy is
illustrated through comparative simulation examples.
