PROJECT TITLE :
Robust Scheduling of Sampled-Data Networked Control Systems
In this temporary, we take into account the strong (in terms of model uncertainty) off-line scheduling problem for networked management systems (NCSs) with time-triggered communication. We model the NCS as a hybrid switched system and we tend to propose an economical methodology to calculate the continual-time $cal L_2$-gain of the ensuing 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 quick stochastic algorithms. A case study of a networked vehicle management system in an exceedingly hardware-in-the-loop implementation is provided as an example of application.
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