Closed-loop guidance of mobile sensors for the estimation of spatially distributed processes
Closed-loop guidance of mobile sensors for the estimation of spatially distributed processes
复制标题
用于估计空间分布过程的移动传感器的闭环引导
DOI：
10.23919/acc.2018.8430847
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
M. Demetriou
中科院分区：
文献类型：
--
作者：
M. Demetriou
该论文提供了一种计算有效的方案，用于空间分布过程实时估计中使用的移动传感器的空间重新定位。所提出的闭环制导方案没有考虑在时间上向后传播协方差算子的计算成本高昂的选择，而是根据所得状态估计误差的空间梯度的正方向重新定位移动传感器。所提出的耦合状态估计和传感器引导应用于一维和二维空间维度的平流扩散偏微分方程，并与具有固定空间传感器的卡尔曼滤波器的情况进行比较。
The paper provides a computationally efficient scheme for the spatial repositioning of mobile sensors used in the real-time estimation of spatially distributed processes. Instead of considering the computationally expensive option of propagating the covariance operator forward in time with the guidance propagated backward in time, the proposed closed-loop guidance scheme repositions the mobile sensors according to the positive direction of the spatial gradient of the resulting state estimation error. The proposed coupled state estimation and sensor guidance is applied to advection-diffusion PDEs in one and two spatial dimensions and compared to the case of a Kalman filter with fixed-in-space sensors.