Hammerstein model identification based on bacterial foraging

被引:36
作者
Lin, W. [1 ]
Liu, P. X.
机构
[1] Ningbo Univ, Fac Informat Sci & Technol, Ningbo 315211, Peoples R China
[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
关键词
D O I
10.1049/el:20062743
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new algorithm for Hammerstein model identification based on bacterial foraging is developed. Simulations and comparisons show its advantages over the particle swarm optimisation algorithm in terms of immunity to coloured noise, model accuracy, and the convergence of parameters.
引用
收藏
页码:1332 / 1334
页数:3
相关论文
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[2]  
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[3]  
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Passino KM, 2002, IEEE CONTR SYST MAG, V22, P52, DOI 10.1109/MCS.2002.1004010