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 ${\cal L}_{2}$-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.

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