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使用智能传感器放置的数据重建.

Farnaz Boudaghi1, Danial Waleed1, Luis A Duffaut Espinosa1

  • 1Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT 05405, USA.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
概括

本研究介绍了一种有效的动态传感器放置策略,用于时空场估计. 它优化了传感器数量,并使用Kriged Kalman过器 (KKF) 进行强大的,不确定性意识的场景重建.

关键词:
克里金·卡尔曼过器的使用QR放置方法 QR放置方法没有模型的控制控制.最佳数量的传感器.传感器的位置 传感器的位置

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