  In this paper, we study the problem of continuous-time state observation over
lossy communication networks. We consider the situation in which the samplers
for measuring the output of the plant are spatially distributed and their
communication with the observer is scheduled according to a round-robin
scheduling protocol. We allow the observer gains to dynamically change in
synchronization with the scheduling of communications. In this context, we
propose a linear matrix inequality (LMI) framework to design the observer gains
that ensure the asymptotic stability of the error dynamics in continuous time.
We illustrate the effectiveness of the proposed methods by several numerical
simulations.

Systems and Control