基于观察者的局限H∞ 控制转移变化的线性重复过程,在有限的视界上具有受约束的比特率
IEEE transactions on cybernetics
|March 18, 2025
概括
这项研究引入了一种基于观察者的新型局限H无限控制,用于线性重复过程 (LRP) 在具有比特速率约束的网络上. 该方法优化了带宽的使用,并确保在有限的时间范围内确保系统的稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 网络化系统 网络化系统
- 信号处理 信号处理
背景情况:
- 线性重复过程 (LRP) 在需要高精度,重复任务的应用中至关重要.
- 通过网络控制LRP面临挑战,因为带宽和数据速率的限制有限.
- 现有的方法通常使用复杂的调度协议来管理网络资源.
研究的目的:
- 开发基于观察者的局限H无限控制策略,用于在具有受限制比特率的网络上转移变化的LRP.
- 通过引入比特速率约束模型和编码解码机制来优化带宽利用.
- 为了确保网络LRP的有限地平线内有界的H无限性性能.
主要方法:
- 将变速LRP转换为变速二维 (2D) 福纳西尼-马切西尼模型.
- 建议在递归线性矩阵不等式 (LMI) 中提供足够的条件,用于有界的H-无限性性能.
- 开发基于组件的比特速率分配策略,以扩大量子化区域.
主要成果:
- 使用LMI推导的足够条件保证了闭环系统的有限H无限性性能.
- 拟议的编码解码机制有效地管理在位率限制下数据传输.
- 基于组件的比特速率分配策略增强了量化能力.
结论:
- 开发的以观察者为基础的边界H无限控制对具有比特率约束的网络LRP有效.
- 与传统的调度协议相比,该方法提供了更好的带宽效率.
- 该方法通过模拟示例进行验证,证明其实际适用性.
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