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Titlebook: Distributed Fusion Estimation for Sensor Networks with Communication Constraints; Wen-An Zhang,Bo Chen,Li Yu Book 2016 Science Press, Beij

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樓主: Harding
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發(fā)表于 2025-3-23 13:29:57 | 只看該作者
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發(fā)表于 2025-3-23 14:33:03 | 只看該作者
https://doi.org/10.1057/9780230270367the WSNs monitor the environment more accurately and efficiently. Therefore, the WSN-based multisensor fusion estimation and its applications have attracted considerable research interest during the past decade [22, 39, 57, 83].
13#
發(fā)表于 2025-3-23 18:58:33 | 只看該作者
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發(fā)表于 2025-3-23 22:16:33 | 只看該作者
Introduction,the WSNs monitor the environment more accurately and efficiently. Therefore, the WSN-based multisensor fusion estimation and its applications have attracted considerable research interest during the past decade [22, 39, 57, 83].
15#
發(fā)表于 2025-3-24 03:15:18 | 只看該作者
16#
發(fā)表于 2025-3-24 08:41:04 | 只看該作者
17#
發(fā)表于 2025-3-24 14:26:06 | 只看該作者
https://doi.org/10.1057/9780230270367on methods. Actually, a useful and straightforward approach to saving energy is to slow down the information transmission rate in the sensors, for example, the sensors may measure and transmit measurements with a period that is several times of the sampling period.
18#
發(fā)表于 2025-3-24 18:17:32 | 只看該作者
https://doi.org/10.1057/9780230253179man filtering approach. In [5, 6], the time-varying delay was identified by using the time-stamp method over each estimation interval, and exact values of the time delays should be known to update the estimator gain matrices online.
19#
發(fā)表于 2025-3-24 19:37:31 | 只看該作者
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發(fā)表于 2025-3-25 02:36:28 | 只看該作者
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