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  • 标题:A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control ⁎
  • 本地全文:下载
  • 作者:Ruigang Wang ; Roland Tóth ; Ian R. Manchester
  • 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:44-49
  • DOI:10.1016/j.ifacol.2019.12.346
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Gain-scheduled control based on linear parameter-varying (LPV) models derived from local linearizations is a widespread nonlinear technique for tracking time-varying setpoints. Recently, a nonlinear control scheme based on Control Contraction Metrics (CCMs) has been developed to track arbitrary admissible trajectories. This paper presents a comparison study of these two approaches. We show that the CCM based approach is an extended gain-scheduled control scheme which achieves global reference-independent stability and performance through an exact control realization which integrates a series of local LPV controllers on a particular path between the current and reference states.
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