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  • 标题:Predictor-based Disturbance Attenuation Control of a Class of Continuous-time Linear Systems with Input Delay ⁎
  • 本地全文:下载
  • 作者:Yu Wang ; Ai-Guo Wu ; Jing Huang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:18
  • 页码:29-34
  • DOI:10.1016/j.ifacol.2021.11.111
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, the problem of disturbance attenuation based on predictors is investigated for a class of continuous-time linear systems with input delay. First, a new predictor is constructed by taking account of the information of the unknown disturbance signal. In order to obtain this new predictor, the unknown disturbance is estimated by the error between a certain variable and the standard predictor. Under the transformation defined by the proposed predictor, the original system with input delay is converted into a delay-free system. Then, the disturbance attenuation performance for the predictors is analyzed in terms of the transformed delay-free system. A numerical example is presented to verify the effectiveness of the proposed predictor.
  • 关键词:KeywordsLinear systemspredictor-based feedbackinput-delaymodel reduction techniquedisturbance attenuation
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