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  • 标题:An Evolutionary Strategy For Adaptive Network Control and Synchronization and its Applications
  • 本地全文:下载
  • 作者:Francesco Scafuti ; Takaaki Aoki ; Mario di Bernardo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:18
  • 页码:193-198
  • DOI:10.1016/j.ifacol.2015.11.035
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn a recent paper, we proposed an evolutionary strategy for control and synchronization based on an extension of the Edge-Snapping method which was presented earlier in the literature. Here we show the generality of our methodology by applying it to a network of Rossler chaotic oscillators. Finally, we test the robustness properties of the evolutionary strategy, to variations of dynamical and control parameters.
  • 关键词:KeywordsComplex systemsadaptationchaossynchronizationevolutionary networksoscillators
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