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  • 标题:A New Approach to Robust MPC Design for LPV Systems in Input-Output Form
  • 本地全文:下载
  • 作者:Hossam S. Abbas ; Jurre Hanema ; Roland Tóth
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:26
  • 页码:112-117
  • DOI:10.1016/j.ifacol.2018.11.159
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a robustmodel predictive control(MPC) technique is introduced to control MIMOlinear parameter-varying(LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, which is a common form obtained through LPV system identification. The method guarantees asymptotic stability of the closed-loop system and provides integral action for a given piecewise constant reference trajectory based on past measurements of the inputs and outputs. The technique offers computationally more efficient and less conservative design approach compared to previous works. A simulation example is given to demonstrate the effectiveness of the proposed technique.
  • 关键词:KeywordsModel Predictive ControlRobust StabilityPerformanceLMIConvex OptimizationLinear Parameter-Varying (LPV) Systems
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