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  • 标题:LPVcore: MATLAB Toolbox for LPV Modelling, Identification and Control
  • 本地全文:下载
  • 作者:Pascal den Boef ; Pepijn B. Cox ; Roland Tóth
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:7
  • 页码:385-390
  • DOI:10.1016/j.ifacol.2021.08.390
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper describes the LPVcore software package for MATLAB developed to model, simulate, estimate and control systems vialinear parameter-varying(LPV)input-output(IO),state-space(SS) andlinear fractional(LFR) representations. In the LPVcore toolbox, basis affine parameter-varying matrix functions are implemented to enable users to represent LPV systems in a global setting, i.e., for time-varying scheduling trajectories. This is a key difference compared to other software suites that use a grid or only LFR-based representations. The paper contains an overview of functions in the toolbox to simulate and identify IO, SS and LFR representations. Based on various prediction-error minimization methods, a comprehensive example is given on the identification of a DC motor with an unbalanced disc, demonstrating the capabilities of the toolbox. The software and examples are available onwww.lpvcore.net.
  • 关键词:KeywordsLinear parameter-varying systemssoftware toolssystem identification
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