针对和系统的优化分布式过,通过传感器网络的放大和向前继电器:动态事件触发的方法
IEEE transactions on neural networks and learning systems
|September 6, 2023
概括
本研究开发了一种使用动态事件触发机制的新分布式过方法,用于具有放大和前置继电器的和系统. 这种方法优化了信号传输,并减少了通信负载,以提高过性能.
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:
- 分布式过对于联网系统至关重要,但通信限制和系统和带来了挑战.
- 放大和向前 (AF) 继电器扩展信号传输范围,但在功率管理和数据完整性方面引入了复杂性.
- 动态事件触发机制 (DETM) 对于减少通信开销和防止分布式系统中的数据碰撞至关重要.
研究的目的:
- 为解决包含AF继电器的和系统的优化分布式过问题.
- 开发一个DETM,以便在传感器和过器之间有效和可靠地安排数据传输.
- 在管理通信负担的同时,尽量减少过错误协变.
主要方法:
- 使用放大和向前 (AF) 继电器来延长信号传输距离.
- 实施动态事件触发机制 (DETM) 以优化数据传输调度.
- 在变量约束下推导一个上限矩阵 (UBM) 过错误 (FE) 协变量.
- 通过最小化拟议的UBM来构建一个最佳的过器增益.
- 评估UBM痕迹的边界性.
主要成果:
- 一个用于过错误共变量的上限矩阵 (UBM) 已成功导出.
- 通过最大限度地减少UBM,构建了一个新的过器增益,确保最佳性能.
- 严格评估了UBM痕迹的边界性.
- 模拟结果验证了开发的分布式递归过方案的有效性.
结论:
- 拟议的分布式递归过方案有效地管理具有AF继电器的和系统.
- DETM显著减轻了通信负担,并防止了数据碰撞.
- 开发的方法可确保在具有传输限制的网络系统中提供强大的过性能.
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