Robust Scheduling of Sampled-data Networked Control Systems

In this brief, we consider the robust (in terms of model uncertainty) off-line scheduling problem for Networked Control Systems (NCSs) with time-triggered communication. We model the NCS as a hybrid switched system and we propose an efficient method to calculate the continuous-time L_2-gain of the resulting closed-loop system for a given communication sequence. Finding a periodic scheduling policy that minimizes this norm is the (combinatorial) optimization problem that is solved by fast stochastic algorithms. A case study of a networked vehicle control system in a hardware- in-the-loop implementation is provided as an example of application.