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  • 标题:An Intelligent Modeling Approach for LPV Systems based on Primary-secondary Response Mechanism of Immune System
  • 本地全文:下载
  • 作者:Lei Chen ; Yongsheng Ding ; Kuangrong Hao
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:5338-5342
  • DOI:10.1016/j.ifacol.2017.08.923
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, an intelligent modeling approach for LPV systems based on primary-secondary response mechanism of immune system is proposed. Based on the historical data, the first antibodies are produced, and this is the offline modeling process. The producing of the forthcoming antibodies is the online modeling process, it consists of recording antigen, matching the antibodies and forming the new antibodies. The proposed approach has the ability of learning and evolution, and the parameters of LPV system can be updated adaptively. Simulation results showed that the proposed intelligent modeling approach is effective for online LPV system modelling.
  • 关键词:KeywordsPrimary-secondary responseLPV systemintelligent modeling
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