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This paper considers a distributedH∞sampled-data filtering problem in sensor networks with stochastically switching topologies. It is assumed that the topology switching is triggered by a Markov chain. The output measurement at each sensor is first sampled and then transmitted to the corresponding filters via a communication network. Considering the effect of a transmission delay, a distributed filter structure for each sensor is given based on the sampled data from itself and its neighbordoi:10.1155/2014/670467 fatcat:rvjwdjwrkfdcpbdk2vyfmgol3i