  The fact that event-triggered control (ETC) often exhibits an improved
performance-communication tradeoff over time-triggered control renders it
especially useful for Networked Control Systems (NCSs). However, it has proven
difficult to characterize the traffic produced by ETC a priori. Rollout ETC
addresses this issue by using a triggering and control law that is implicitly
defined by the solution to an optimal control problem (OCP), instead of an
explicit one as in classical ETC. This allows to directly incorporate
predefined constraints on the transmission traffic as well as on states and
inputs. In this article, we examine the practically relevant case when output
instead of state measurements are available, and measurements as well as the
LTI plant are subject to uncertainties. To address these challenges, we adapt
methods from robust tube-based model predictive control and propose three
different strategies to implement an error feedback in an NCSs setup, the
applicability of which depends on the capabilities of the actuator. We
establish recursive feasibility, robust constraint satisfaction and
convergence. Finally, we illustrate our results in a numerical example.
