Sampled-data stabilization via round-robin scheduling: A direct Lyapunov-Krasovskii approach

This paper studies stabilization of networked control systems with communication constraints, variable sampling interval and delay. We focus on static output feedback controllers for linear systems. The system sensors nodes are supposed to be distributed over a network. Data transmission over the network is subject to the Round-Robin scheduling protocol. We present the closed-loop system as a switched system with multiple delayed samples. By constructing an appropriate Lyapunov functional, which takes into account the switched system model and the sawtooth delays induced by sampled-data control, we derive the exponential stability conditions in terms of Linear Matrix Inequalities (LMIs). Polytopic uncertainties in the system model can be easily included in the analysis. The efficiency of the method is illustrated on the classical cart-pendulum benchmark problem.