论文标题

线性离散时间延迟系统的数据驱动控制

Data-Driven Control for Linear Discrete-Time Delay Systems

论文作者

Rueda-Escobedo, Juan G., Fridman, Emilia, Schiffer, Johannes

论文摘要

获取和处理数据以及系统复杂性增长的越来越容易性引起了人们对从传统模型的控制设计转向数据驱动概念的兴趣。由于在许多工程应用程序中,时间延迟自然出现,并且通常是不稳定的来源,因此我们通过在线性离散时间延迟系统中引入基于数据的状态反馈控制设计的基于数据驱动的控制字段,具有不确定的延迟。通过提出的方法,以统一的方式处理系统稳定以及保证成本和$ H _ {\ infty} $控制设计的问题。还提供了确定系统延迟并确保在嘈杂数据的情况下确保鲁棒性的扩展。

The increasing ease of obtaining and processing data together with the growth in system complexity has sparked the interest in moving from conventional model-based control design towards data-driven concepts. Since in many engineering applications time delays naturally arise and are often a source of instability, we contribute to the data-driven control field by introducing data-based formulas for state feedback control design in linear discrete-time time-delay systems with uncertain delays. With the proposed approach, the problems of system stabilization as well as of guaranteed cost and $H_{\infty}$ control design are treated in a unified manner. Extensions to determine the system delays and to ensure robustness in the event of noisy data are also provided.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源