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  • 标题:Kernel Approximation Approach to the L 1 Optimal Sampled-Data Controller Synthesis Problem
  • 本地全文:下载
  • 作者:Jung Hoon Kim ; Tomomichi Hagiwara
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:910-915
  • DOI:10.1016/j.ifacol.2017.08.086
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper is concerned with a new framework called the kernel approximation approach to theL1optimal controller synthesis problem of sampled-data systems. On the basis of the lifted representation of sampled-data systems, which contains an input operator and an output operator, this paper introduces a method for approximating the kernel function of the input operator and the hold function of the output operator by piecewise constant functions. Through such a method, theL1optimal sampled-data controller synthesis problem could be (almost) equivalently converted into the discrete-timel1optimal controller synthesis problem. This paper further establishes an important inequality that forms the theoretical validity of the kernel approximation approach for tackling theL1optimal sampled-data controller synthesis problem.
  • 关键词:Keywordssampled-data systemsL1optimal controlkernel approximationliftingfast-lifting
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