Delayed Disturbance Attenuation via Measurement Noise Estimation

• 成果类型: Article
• 署名作者: Furtat, Igor; Fridman, Emilia
• 署名单位: Russian Academy of Sciences; Tel Aviv University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3054238
• 发表日期: 2021
• 页码: 5546-5553
• 关键词: Noise measurement; Closed loop systems; Linear matrix inequalities; Symmetric matrices; DELAYS; observers; Mathematical model; Disturbance attenuation; Lyapunov-Krasovskii functional; time delay

摘要

A novel control law is proposed to attenuate the influence of bounded disturbances and measurement noises for plants with vector output and sector-bounded nonlinearities. The control law is based on the estimation of measurement noises. Differently from the existing results, the ultimate bound of the closed-loop system depends only on one component of the noise vector (as well as on the disturbance). The proposed control law is extended to systems with uncertain input and output delays. The input-to-state stability conditions are given in terms of matrix inequalities. The efficiency and advantages of the results over the existing methods are demonstrated by numerical examples.