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  • 标题:New Architectures for Hierarchical Predictive Control
  • 本地全文:下载
  • 作者:Victor M. Zavala
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:7
  • 页码:43-48
  • DOI:10.1016/j.ifacol.2016.07.214
  • 语种:English
  • 出版社:Elsevier
  • 摘要:We analyze the structure of the Euler-Lagrange (EL) conditions of a long-horizon optimal control problem. The analysis reveals that the conditions can be solved by using block Gauss-Seidel (GS) schemes. We prove that such schemes can be implemented in the primal space by solving sequences of short-horizon optimal control problems. This analysis also reveals that a traditional receding-horizon (RH) scheme is equivalent to performing a single GS sweep. We have also found that we can use adjoint information from a coarse long-horizon problem to construct terminal penalties that correct the policies of the RH scheme. We observe that this scheme can be interpreted as a hierarchical controller in which a coarse high-level controller transfers long-horizon information to a low-level, short-horizon controller of fine resolution. The results open the door to a new family of hierarchical control architectures that can handle multiple time scales systematically.
  • 关键词:RHhierarchical controltime scalesEuler-Lagrange
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