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  • 标题:Transformation of the generalized chaotic system into canonical form
  • 本地全文:下载
  • 作者:Roman Voliansky
  • 期刊名称:IJAIN (International Journal of Advances in Intelligent Informatics)
  • 印刷版ISSN:2442-6571
  • 电子版ISSN:2548-3161
  • 出版年度:2017
  • 卷号:3
  • 期号:3
  • 页码:117-124
  • DOI:10.26555/ijain.v3i3.113
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:The paper deals with the developing of the numerical algorithms for transformation of generalized chaotic system into canonical form. Such transformation allows us to simplify control algorithm for chaotic system. These algorithms are defined by using Lie derivatives for output variable and solution of nonlinear equations. Usage of proposed algorithm is one of the ways for discovering of new chaotic attractors. These attractors can be obtained by transformation of known chaotic systems into various state spaces. Transformed attractors depend on both parameters of chaotic system and sample time of its discrete model.
  • 关键词:Chaos;Dynamical system;Differential equations;Generalized chaotic system;Nonlinear coordinate transformation
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