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Optimal Estimation Algorithm Design under Event-based Sensor Data Scheduling

机译:基于事件的传感器数据调度下的最优估计算法设计

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摘要

This paper investigates a remote state estimation problem over a communication channel, which is of theoretical and practical significance in the study of cyber-physical systems (CPS). In consideration of both bandwidth limitation and estimation quality, an event-based schedule is proposed to decide whether to transmit the current measurement to the remote estimator or not. To overcome the difficulties induced by the bilaterally hidden-truncation process from event-based scheme, we introduce the generalized closed skew normal distribution to accurately portray the state distribution. Furthermore, an exact MMSE estimation algorithm is designed, which does not rely on the Gaussian approximation assumption. Numerical examples are provided to show the effectiveness of the proposed algorithm.
机译:本文研究了通信信道的远程状态估计问题,这在网络物理系统(CPS)研究中具有理论和实践意义。考虑到带宽限制和估计质量,建议基于事件的计划来决定是否将当前测量传输到远程估计器。为了克服基于事件的方案的双侧隐藏截断过程所引起的困难,我们介绍了广义的闭合偏置正常分布,以准确描绘国家分布。此外,设计了精确的MMSE估计算法,其不依赖于高斯近似假设。提供数值示例以显示所提出的算法的有效性。

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