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This paper studies the stabilization problem of networked control systems(NCSs) with random packet dropouts caused by stochastic channels. To describethe effects of stochastic channels on the information transmission, thetransmission times are assumed to be deterministic, whereas the packettransmission is assumed to be random. We first propose a stochastic schedulingprotocol to model random packet dropouts, and address the properties of theproposed stochastic scheduling protocol. The proposed scheduling protocolprovides a unified modelling framework for a general class of random packetdropouts due to different stochastic channels. Next, the proposed schedulingprotocol is embedded into the closed-loop system, which leads to a stochastichybrid model for NCSs with random packet dropouts. Based on this stochastichybrid model, we follow the emulation approach to establish sufficientconditions to guarantee uniform global asymptotical stability in probability.In particular, an upper bound on the maximally allowable transmission intervalis derived explicitly for all stochastic protocols satisfying Lyapunovconditions that guarantee uniform global asymptotic stability in probability.Finally, two numerical examples are presented to demonstrate the derivedresults.

Emulation-based Stabilization for Networked Control Systems with Stochastic Channels