Data-Driven Control for Linear Discrete-Time Delay Systems

• 成果类型: Article
• 署名作者: Rueda-Escobedo, Juan G.; Fridman, Emilia; Schiffer, Johannes
• 署名单位: Tel Aviv University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3096896
• 发表日期: 2022
• 页码: 3321-3336
• 关键词: data-driven control; delay systems; Robust control; sampled data control

摘要

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 toward 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-infinity 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.