基于模型和数据驱动的事件和自我触发的离散时间线性系统的控制.
IEEE transactions on cybernetics
|June 9, 2023
概括
本研究介绍了事件触发 (ETS) 和自动触发 (STS) 方案,用于控制未知的线性系统. 这些方法可以减少数据传输,同时通过新的共同设计方法确保系统稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 系统理论系统理论
- 信息理论 信息理论
背景情况:
- 控制未知的离散时间线性系统带来了挑战.
- 事件触发和自动触发方案旨在优化控制系统的数据传输.
研究的目的:
- 开发和分析未知的离散时间线性系统的基于模型和数据的控制策略.
- 引入动态事件触发系统 (ETS) 和自动触发系统 (STS) 以实现高效的数据传输.
- 为控制器和触发机制建立稳定性条件和共同设计方法.
主要方法:
- 一个基于定期采样和离散时间循环功能方法的动态事件触发方案 (ETS).
- 导出基于模型的稳定性条件.
- 通过将基于模型的条件与基于数据的系统表示相结合,使用线性矩阵不等式 (LMIs) 开发数据驱动的稳定性标准.
- 使用预先收集的输入状态数据来预测传输实时的算法,设计一个自触发方案 (STS).
主要成果:
- 一个基于模型的稳定性条件,用于ETS.
- 以LMI形式的数据驱动稳定性标准,使ETS矩阵和控制器的共同设计成为可能.
- 自动触发方案 (STS) 算法,可确保系统稳定性.
- 通过数值模拟来证明ETS和STS的减少数据传输.
结论:
- 拟议的动态事件触发方案 (ETS) 和自动触发方案 (STS) 有效地减少未知的离散时间线性系统中的数据传输.
- 为触发方案和控制器开发的共同设计方法是实用的,并确保系统稳定性.
- 数据驱动的方法为控制系统设计提供了一个强大的替代方案,当系统模型不确定时.
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