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  • 标题:Computing Ellipsoidal Robust Forward Invariant Tubes for Nonlinear MPC
  • 本地全文:下载
  • 作者:Mario E. Villanueva ; Jiaqi C. Li ; Xuhui Feng
  • 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:7175-7180
  • DOI:10.1016/j.ifacol.2017.08.599
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMin-max differential inequalities (DIs) can be used to characterize robust forward invariant tubes with convex cross-section for a large class of nonlinear control systems. The advantage of using set-propagation over other existing approaches for tube MPC is that they avoid the discretization of control policies. Instead, the conservatism of min-max DIs in tube MPC arises from the discretization of sets in the state-space, while the control law is never discretized and remains defined implicitly via the solution of a min-max optimization problem. The contribution of this paper is the development of a practical implementation of min-max DIs for tube MPC using ellipsoidal-tube enclosures. We illustrate these developments with a spring-mass-damper system.
  • 关键词:Keywordsrobust controlmodel predictive controldifferential inequalities
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