丢包情况下基于随机事件触发的远程状态估计
Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops
摘要：
研究了具有随机事件触发传感器调度的线性定常系统的远程状态估计问题。它示出了在估计器侧的可用信息的条件下的系统状态是高斯混合分布。最小均方误差（MMSE）估计随后推导出开环和闭环的时间表。由于最优估计器需要指数增加的计算和存储器，因此进一步提供了降低计算复杂性的次优估计器。最后，通过仿真来说明最优和次优估计器的性能。
英文摘要：
This paper studies the remote state estimation problem of linear time-invariant systems with stochastic event-triggered sensor schedules in the presence of packet drops between the sensor and the estimator. It is shown that the system state conditioned on the available information at the estimator side is Gaussian mixture distributed. Minimum mean square error (MMSE) estimators are subsequently derived for both open-loop and closed-loop schedules. Since the optimal estimators require exponentially increasing computation and memory, sub-optimal estimators to reduce the computational complexities are further provided. In the end, simulations are conducted to illustrate the performance of the optimal and sub-optimal estimators.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
