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To Transmit or Not to Transmit: Optimal Sensor Schedule for Remote State Estimation of Discrete-Event Systems

This paper considers the problem of optimal sensor schedules for remote state estimation of discrete-event systems. In this setting, the sensors observe information from the plant and transmit the observable information to the receiver or estimator selectively. A transmission mechanism decides whether the observable information is transmitted or not, according to an information transmission policy, such that the receiver has sufficient information to satisfy the purpose of decision-making. To construct such a transmission mechanism, we first construct a non-deterministic dynamic observer that contains all feasible information transmission policies. Then, we show that the information updating rule of the dynamic observer indeed yields the state estimate from the receiver's point of view. Finally, we propose an approach to extract a specific information transmission policy, realized by a finite-state automaton, from the dynamic observer while satisfying some desired observation properties. To reduce transmission-related costs, we also require that the sensors transmit events as few as possible. A running example is provided to illustrate the proposed procedures.

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