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  • 标题:A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions
  • 本地全文:下载
  • 作者:Daniel Fullmer ; Daniel Fullmer ; Lili Wang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:18
  • 页码:552-557
  • DOI:10.1016/j.ifacol.2016.10.223
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract: A distributed algorithm is described for finding a common fixed point of a family of m > 1 nonlinear maps Mi : IRn → IR n assuming that each map is a paracontraction and that such a common fixed point exists. The common fixed point is simultaneously computed by m agents assuming each agent i knows only Mi , the current estimates of the fixed point generated by its neighbors, and nothing more. Each agent recursively updates its estimate of the fixed point by utilizing the current estimates generated by each of its neighbors. Neighbor relations are characterized by a time-dependent directed graph ℕ(t) whose vertices correspond to agents and whose arcs depict neighbor relations. It is shown that for any family of paracontractions Mi, i ϵ {1,2,..., m} which has at least one common fixed point, and any sequence of strongly connected neighbor graphs ℕ(t),t = 1,2,..., the algorithm causes all agent estimates to converge to a common fixed point.
  • 关键词:Keywordsdistributed algorithmparacontractionnonlinear
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