分布立方信息过方法用于仅轴承传感器网络中的状态估计
Zhan Chen1, Wenxing Fu1, Ruitao Zhang1
1Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.
Entropy (Basel, Switzerland)
|March 28, 2024
概括
本研究引入了一种新的分布式立方信息过 (DCIF) 方法,用于在轴承式传感器网络中改进状态估计. DCIF方法提高了系统的可观测性,在准确性和稳定性方面超过了传统算法.
科学领域:
- 工程 工程师 工程师 工程师
- 信号处理 信号处理
- 控制系统 控制系统
背景情况:
- 仅使用轴承传感器进行状态估计至关重要,但面临有限的分布式过解决方案.
- 传统的非线性过算法经常存在精度错误和差异.
研究的目的:
- 提出一种新的分布式立方体信息过 (DCIF) 方法,用于仅在轴承传感器网络中进行状态估计.
- 提高系统可观测性,提高状态估计的准确性和稳定性.
主要方法:
- 为仅轴承传感器网络构建了一个系统模型,并分析了系统的可观测性.
- 采用协调一致性理论来统一估计机动目标的状态.
- 开发了分布式立方信息过 (DCIF) 方法.
主要成果:
- DCIF方法提高了系统的可观测性,减轻了准确性错误和差异.
- 建立了DCIF方法的一致性趋同的理论证明.
- 模拟实验证明了DCIF的有效性和优越性.
结论:
- 拟议的DCIF方法对于仅在轴承传感器网络中的状态估计是有效的.
- 与传统的非线性过算法相比,DCIF提供了更高的性能.
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