|本期目录/Table of Contents|

[1]王荣杰,朱昱.基于FLANN的非线性动态系统辨识[J].集美大学学报(自然科学版),2011,16(2):128-135.
　WANG Rong-jie,ZHU yu.Nonlinear Dynamic System Identification Based on FLANN[J].Journal of Jimei University,2011,16(2):128-135.
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《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]

卷:
第16卷
期数:
2011年第2期
页码:
128-135
栏目:
航海技术与物流工程
出版日期:
2011-03-25

文章信息/Info

Title:
Nonlinear Dynamic System Identification Based on FLANN
作者:
王荣杰1; 2; 朱昱3
(1.集美大学轮机工程学院,福建 厦门 361021;2.中山大学信息科学与技术学院,广东 广州 510006;3.厦门大学信息科学与技术学院,福建 厦门 361005)
Author(s):
WANG Rong-jie1; 2; ZHU yu3
( 1.Marine Engineering Institute,Jimei University,Xiamen 361021,China;2.School of Information Science and Technology,Sun Yat-sen University,Guangzhou 510006,China;3.School of Information Science and Technology,Xiamen University,Xiamen 361005,China)
关键词:
非线性; 动态; 系统辨识; FLANN; PSO优化算法
Keywords:
nonlinear; dynamic; system identification; FLANN; PSO optimization algorithm
分类号:
-
DOI:
-
文献标志码:
-
摘要:
采用一种基于FLANN-PSO的SISO非线性动态系统辨识方法，构造了基于FLANN的辨识模型，然后运用PSO优化算法实现模型权值辨识.通过对4种典型非线性动态系统进行了辨识仿真，结果表明该方法具有良好的性能和高辨识精度，它将更适合于工程实际需要
Abstract:
A method of SISO Nonlinear Dynamic System Identification was proposed based on FLANN-PSO.At first,identification model based on FLANN was constructed,and then its weights were calculated by PSO optimization algorithm.The simulation result of four models for nonlinear dynamic systems showed that the method had excellent identification performance and accuracy,and thus it would be more applicable to the engineering practice

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 2018-06-13