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In this paper, we study the problem of continuous-time state observation overlossy communication networks. We consider the situation in which the samplersfor measuring the output of the plant are spatially distributed and theircommunication with the observer is scheduled according to a round-robinscheduling protocol. We allow the observer gains to dynamically change insynchronization with the scheduling of communications. In this context, wepropose a linear matrix inequality (LMI) framework to design the observer gainsthat ensure the asymptotic stability of the error dynamics in continuous time.We illustrate the effectiveness of the proposed methods by several numericalsimulations.

Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling