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  • 标题:Identification of linear system in random time
  • 本地全文:下载
  • 作者:Edward Kozłowski
  • 期刊名称:International Journal of Computer and Information Technology
  • 印刷版ISSN:2279-0764
  • 出版年度:2012
  • 卷号:1
  • 期号:2
  • 页码:103
  • 出版社:International Journal of Computer and Information Technology
  • 摘要:In order to intelligent control in future the system should be tested. The classical tasks of identification are modeled (realized) for established number (interval, horizon) of test. In this paper the above problem is investigated for a random interval. To identification was used a conditional entropy, which represents a measure of system uncertainty. Additionally in this case the horizon is modeled by a random variable with a finite number of events. The general aim of control is the system identification at minimum cost. This problem is reduced to the task of optimal control with established finite horizon.
  • 关键词:linear system; conditional entropy; optimal control; ; identification
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