Abstract:The problem of distributed identification of linear stochastic system with unknown coefficient θ * over timevarying networks is considered. For estimating θ * , each agent in the network can only access the input and the binary-valued output of the local system. Compared with the existing works on distributed optimization and estimation, the binary-valued local output observation considered in the paper makes the problem challenging. By assuming that the agent in the network can communicate with its adjacent n… Show more
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