| 岳细鹏,王如生,陈博,俞立.基于事件触发传输机制的分布式融合估计[J].高技术通讯(中文),2022,32(5):493~501 |
| 基于事件触发传输机制的分布式融合估计 |
| Distributed fusion estimation based on event-triggered transmission mechanism |
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| DOI：10.3772/j.issn.1002-0470.2022.05.006 |
| 中文关键词: 网络化多传感器系统； 通信受限； 分布式融合估计； 事件触发机制（ETM）； 凸优化 |
| 英文关键词: networked multi-sensor system, communication constraint, distributed fusion estimation, event-triggered mechanism (ETM)，convex optimization |
| 基金项目: |
| 作者 | 单位 | | 岳细鹏 | （浙江工业大学信息工程学院杭州 310023） | | 王如生 | （浙江工业大学信息工程学院杭州 310023） | | 陈博 | （浙江工业大学信息工程学院杭州 310023） | | 俞立 | （浙江工业大学信息工程学院杭州 310023） |
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| 中文摘要: |
| 在网络化多传感器系统中，信息传输往往受到通信带宽和资源的限制。有必要设计一种事件触发传输机制来克服这种缺陷。本文研究了一类通信受限下网络化多传感器系统的分布式融合估计问题，当考虑存在未知有界噪声的网络化多传感器融合系统时，首先引入一种事件触发机制（ETM）以解决网络资源受限问题，并提出一种基于事件触发信息的局部估计器和分布式融合准则。然后基于有界递归优化思想，构建事件触发估计器均方误差上界，通过建立并求解凸优化问题以获得局部估计器增益和分布式加权融合。最后，通过仿真示例验证了本文所提方法的有效性。 |
| 英文摘要: |
| As the communication bandwidth and resources are always limited in the networked multi-sensor fusion systems, it is necessary to design an event-triggered communication mechanism to overcome this drawback. This paper is concerned with the fusion estimation problem for networked multi-sensor systems with communication constraints. When considering the networked multi-sensor systems with unknown but bounded noises, firstly, an event-triggered mechanism (ETM) is introduced to solve the problem of network resource constraints, and the local estimators and distributed fusion criterion based on event-triggered information are proposed. Then, based on the idea of bounded recursive optimization, the upper bound of mean square error of event-triggered estimator is constructed. By establishing and solving different convex optimization problems, the gains of local estimators and the weighting fusion criterion can be obtained. Finally, an illustrative example is given to show the effectiveness of the proposed method in this paper. |
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