An improved hybrid sensor schedule for remote state estimation under limited communication resources
CDC(2012)
摘要
In this paper, we consider remote state estimation. A sensor locally processes its measurement data and sends its local estimate to a remote estimator for further processing. Due to the limited communication resources, the sensor can only communicate with the estimator for a pre-specified number within a given horizon. We propose a hybrid sensor data schedule which introduces an event-triggering mechanism on top of an optimal offline sensor schedule. This hybrid schedule, having a small implementation cost, leads to a smaller estimation error at the remote estimator when compared with the optimal offline sensor schedule.
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关键词
hybrid sensor data schedule,optimal offline sensor schedule,scheduling,state estimation,estimation theory,estimation error,remote estimator,event-triggering mechanism,remote state estimation,implementation cost,measurement data,hybrid schedule,hybrid sensor schedule,sensors,limited communication resources
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