Sampling multidimensional Wiener processes

In this paper, we formulate an optimal scheduling problem in continuous time for transmitting samples of a multidimensional Wiener process when there is a constraint on the communication between the observer and the estimator. We provide the optimal policy for both finite horizon and infinite horizon, and show that event-triggered sampling with constant threshold is optimal over infinite horizon when there is a hard constraint on the average frequency of communication.

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