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  • 标题:Gain-Scheduled Control via Convex Nonlinear Parameter Varying Models
  • 本地全文:下载
  • 作者:Antonio Sala ; Carlos Ariño ; Ruben Robles
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:28
  • 页码:70-75
  • DOI:10.1016/j.ifacol.2019.12.350
  • 语种:English
  • 出版社:Elsevier
  • 摘要:A nonlinear system with sector-bounded nonlinearities can be expressed as a quasi-LPV system (convex combination of linear models, with state-dependent interpolation coefficients). The quasi-LPV class of models is generalised to the so-called convex difference inclusion (CDI) modelling framework by M. Fiacchini and coworkers in several of their works; they propose robust controllers enlarging polytopic domain of attraction estimates. This works further generalises the CDI approach to a gain-scheduled case. As most set-based approaches, the proposal is tractable in low-dimensional cases.
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