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  • 标题:Dynamics of an escort probability-based systems which tend to maximize its Tsallis entropy
  • 本地全文:下载
  • 作者:Dmitry S. Shalymov ; Alexander L. Fradkov
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:33
  • 页码:180-185
  • DOI:10.1016/j.ifacol.2018.12.114
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose a new equations describing dynamics of a complex non-stationary systems/processes from nonextensive statistical mechanics which tend to the maximum of Tsallis entropy. We consider three types of internal energy constraints. The maximum entropy states are already well investigated. But this can not be argued about the transient states which determine how the system moves to the final state. We use the Speed-Gradient principle originated in the control theory. The proposed equations allow to forecast the dynamics of complex non-equilibrium systems. Tsallis entropy is widely used in many fields of science nowadays including physics, biology, computer science and others.
  • 关键词:KeywordsTsallis entropySpeed-Gradient principleMaxEntNonextensive Statistical Mechanics
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