首页    期刊浏览 2024年09月18日 星期三
登录注册

文章基本信息

  • 标题:Evolutionary approach for model order reduction
  • 本地全文:下载
  • 作者:Shilpi Lavania ; Shilpi Lavania ; Deepak Nagaria
  • 期刊名称:Perspectives in Science
  • 印刷版ISSN:2213-0209
  • 电子版ISSN:2213-0209
  • 出版年度:2016
  • 卷号:8
  • 页码:361-363
  • DOI:10.1016/j.pisc.2016.04.075
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Summary The phenomenon of compact model has become an extensive area of research. This article presents a mixed approach for model order reduction (MOR) of a single input and single output system (SISO). The technique is based on Padé approximation which gives equal emphasis to time moments and Markov parameters and a nature-based particle swarm optimization (PSO) approach. In this mixed method, numerator is derived using PSO and denominator is derived using Padé approximation. The worthiness and effectiveness of the method are investigated in terms of integral square error (ISE). Numerical example is verified and compared with various existing techniques on the basis of ISE to prove the superiority of the proposed method. The proposed method guaranties the stability of the reduced order system.
  • 关键词:Compact model; Single input single output (SISO) systems; Time moments; Markov parameters; Integral square error (ISE);
国家哲学社会科学文献中心版权所有