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Event-Triggered State Estimation With an Energy Harvesting Sensor

机译:利用能量采集传感器进行事件触发的状态估计

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摘要

In this paper, a problem of event-triggered state estimation for a linear Gaussian system with an energy harvesting sensor is investigated. A stochastic energy-dependent event-triggering transmission protocol is proposed to balance the communication rate and estimation performance according to the sensor's battery energy. The joint conditional probability distribution of the state and sensor's energy level on the combined set-valued and point-valued event-triggered measurements available to the remote estimator is derived. Based on this distribution, the recursive minimum mean squared error estimates of the state and sensor energy level are obtained. Also, the relationship between the average communication rate and energy harvesting rate is discussed. Finally, a numerical example is provided to evaluate the effectiveness of the proposed results.
机译:本文研究了带有能量采集传感器的线性高斯系统的事件触发状态估计问题。提出了一种基于随机能量的事件触发传输协议,以根据传感器的电池能量来平衡通信速率和估计性能。在远程估计器可用的组合设置值和点值事件触发的测量值上,得出状态和传感器能级的联合条件概率分布。基于此分布,获得状态和传感器能量水平的递归最小均方误差估计。另外,讨论了平均通信速率和能量收集速率之间的关系。最后,提供了一个数值示例来评估所提出结果的有效性。

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