引用本文:刘益剑, 方彦军, 孙冀, 张建明(.简化E.Coli觅食优化算法及其在非线性模型参数辨识中的应用[J].控制理论与应用,2007,24(6):991~994.[点击复制]
LIU Yi-jian, FANG Yan-jun, SUN Ji, ZHANG Jian-ming .Simplified E:Coli foraging optimization algorithm and its application to parameter identification of nonlinear system model[J].Control Theory and Technology,2007,24(6):991~994.[点击复制]
简化E.Coli觅食优化算法及其在非线性模型参数辨识中的应用
Simplified E:Coli foraging optimization algorithm and its application to parameter identification of nonlinear system model
摘要点击 1656  全文点击 1277  投稿时间：2005-07-24  修订日期：2006-11-25
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DOI编号  10.7641/j.issn.1000-8152.2007.6.025
  2007,24(6):991-994
中文关键词  简化E.Coli  觅食算法  参数辨识
英文关键词  simplified E.Coli  foraging algorithm  parameter optimization
基金项目  国家自然科学基金资助项目(70471052)
作者单位
刘益剑, 方彦军, 孙冀, 张建明( 武汉大学自动化系, 湖北武汉430072
南京师范大学检测技术与自动化装置研究所, 江苏南京210042
浙江大学先进控制研究所工业控制技术国家重点实验室, 浙江杭州310027 
中文摘要
      针对非线性系统模型参数辨识问题, 提出了一种简化E:Coli觅食优化算法, 该算法是基于大肠杆菌(E.Coli)的化学趋向性行为, 包含翻转算子和游动算子, 同时还采用个体历史最佳位置和群体最佳位置对E:Coli群体进行更新(优值跟踪算子). 以重油热解三集总非线性模型参数估计验证了简化E:Coli 觅食优化算法的效果, 实验结果表明了简化E:Coli觅食优化算法的有效性, 为非线性系统模型参数估计提供了一种新方法.
英文摘要
      A simplified E:Coli foraging optimization algorithm based on the chemotactic behavior of E:Coli is presented in this paper for the parameter estimation problem of nonlinear system model (NSM). The simplified E:Coli algorithm includes a tumbling operator, a swimming operator, the optimal position of individual E:Coli and the location of all E.Coli swarm are adopted to update the locations of swarm (tracing operator of optimal values). The effectiveness of the proposed simplified E:Coli foraging optimization algorithm is demonstrated by simulation experiments on the parameter estimation of the NSM for heavy oil thermal cracking. The results show that the simplified E:Coli model is valid and provides an attractive method to the estimation of parameters of NSM.