一个数据驱动的,为未知的时间变化系统提供保证的区域位估计
1School of Control Science and Engineering, Zhejiang University, Hangzhou 310058, China.
ISA transactions
|October 17, 2024
概括
本研究提出了一种数据驱动的方法,用于在未知的时间变化系统中使用区域可达性分析来估计状态. 该方法确保系统状态保持在一个紧的,有保证的估计范围内.
科学领域:
- 控制系统工程 控制系统工程
- 系统理论系统理论
- 应用数学 应用数学 应用数学
背景情况:
- 时间变化的系统很普遍,但由于不可预测的参数变化而具有挑战性.
- 这些系统的准确建模往往是不可行的,需要数据驱动的方法.
- 现有的状态估计方法与未知的动态和时间变化的参数作斗争.
研究的目的:
- 为具有未知模型的离散时间变化系统开发数据驱动的状态估计技术.
- 通过可访问性分析为系统状态估计提供保证的边界.
- 确保状态估计结果的紧性和有效性.
主要方法:
- 使用区域可达性分析来处理系统模型中的不确定性.
- 计算一个具有时间变化的矩阵zonotope,包括所有可能的系统模型从先前的数据.
- 代地获得一个超近似的可达到的系统状态的zonotope.
- 使用P半径定义,证明可达到的区域极点的边界性.
主要成果:
- 一种用于计算未知离散时间变化系统的超近似可达到的区域图的方法.
- 保证将实际的系统状态纳入计算估计范围.
- 证明了状态估计结果的紧性.
- 通过数值示例和电路系统模拟进行验证.
结论:
- 拟议的数据驱动方法有效地估计了未知的时间变化系统的状态.
- 区域拓展可达性分析为处理模型不确定性提供了一个强大的框架.
- 该方法确保可靠和紧的状态估计,适用于现实世界的系统.
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