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  • 标题:Local Sampled-Data Gain-Scheduling Control of quasi-LPV Systems ⁎
  • 本地全文:下载
  • 作者:Pedro H.S. Coutinho ; Márcia L.C. Peixoto ; Miguel Bernal
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:4
  • 页码:86-91
  • DOI:10.1016/j.ifacol.2021.10.015
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with the problem of sampled-data gain-scheduling control design for affine quasi-LPV systems. As the control implementation is based on sample-data and its update occurs only at specific sampling instants, the state-dependent scheduling functions of the controller are piecewise continuous. This characteristic causes a mismatch between the system model and the controller parameters, namely asynchronous scheduling functions of the controller with respect to the plant during the inter-sampling behavior. To cope with this phenomenon, a polytopic description of the inter-sampling is constructed based on bounding assumptions on the scheduling functions and their time derivatives. Then, regarding a time-delay approach, a constructive and numerically implementable LMI-based synthesis condition is derived, and a convex procedure is proposed for enlarging the estimate of the region of attraction of the origin of the closed-loop system. The time-derivative bounds of the scheduling functions are explicitly accounted into the local analysis to ensure the method’s implementation. A numerical example is provided to illustrate the proposed methodology.
  • 关键词:KeywordsDigital controlNonlinear systemsGain schedulingConvex optimizationLinear matrix inequalities
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