基于事件对的估计基于AAV的中继网络与无声数据包损失.
IEEE transactions on cybernetics
|December 29, 2025
概括
无声数据包丢失 (SPL) 在基于事件的系统中阻碍了状态估计. 这项研究引入了一个无声传递信息机制 (SMPM) 和一个动态的奇方位探测器,以提高估计准确性和系统稳定性,尽管SPL.
科学领域:
- 控制系统工程 控制系统工程
- 信号处理 信号处理
- 网络化系统 网络化系统
背景情况:
- 无声数据包丢失 (SPL) 在状态估计中构成了重大挑战,特别是在基于事件的系统中.
- 现有的检测方法与完美的准确性作斗争,导致状态概率分布的并发症.
- 事件触发反和SPL之间的相互作用使网络控制系统中的估计变得复杂.
研究的目的:
- 提出一种新的无声传递信息机制 (SMPM),以减轻 SPL 在测量反通道中的影响.
- 引入一个动态的千方形 ($d$-$\mathcal{X}^{2}$) 探测器,其检测准确度已被证明为100%.
- 为不稳定的系统设计一个状态估计器,其中包括SMPM和$d$-$\mathcal{X}^{2}$检测器,建立一个稳定性条件.
主要方法:
- 开发一个与基于事件的调度器兼容的无声传递消息机制 (SMPM).
- 一个动态Chi-square ($d$-$\mathcal{X}^{2}$) 探测器的介绍和理论验证.
- 使用SMPM和$d$-$\mathcal{X}^{2}$检测器设计一个不稳定的系统的状态估计器.
- 导出一个稳定性条件,将SPL率与估计性能联系起来.
主要成果:
- 拟议的SMPM有效地解决了测量道中的SPL问题,即使与基于事件的系统相结合.
- $d$-$\mathcal {X}^{2}$检测器通过时间的推移证明了接近100%的检测准确性.
- 开发的估计器在SPL条件下确保不稳定的系统的稳定性.
- 模拟和实验证实了拟议方法的有效性.
结论:
- SMPM 和 $d$-$\mathcal {X}^{2}$ 探测器在静音数据包丢失的情况下提供了强大的状态估计解决方案.
- 建立的稳定性条件为在不同的SPL率下对系统性能提供了关键的见解.
- 这些发现通过全面的模拟和实验研究得到验证,突出了实际应用.
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