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基于FLANN的非线性动态系统辨识
引用本文:王荣杰,朱昱.基于FLANN的非线性动态系统辨识[J].厦门水产学院学报,2011(2):128-134.
作者姓名:王荣杰  朱昱
作者单位:[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
基金项目:广东省科技项目(2009390004202223)
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.

关 键 词:非线性  动态  系统辨识  FLANN  PSO优化算法

Nonlinear Dynamic System Identification Based on FLANN
Authors:WANG Rong-jie  ZHU yu
Institution: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)
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.
Keywords:nonlinear  dynamic  system identification  FLANN  PSO optimization algorithm
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