基于FLANN的非线性动态系统辨识  

Nonlinear Dynamic System Identification Based on FLANN

作　　者：王荣杰[1,2] 朱昱[3] 

机构地区：[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

出　　处：《集美大学学报（自然科学版）》2011年第2期128-134,共7页Journal of Jimei University：Natural Science

基　　金：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.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.

关 键 词：非线性 动态 系统辨识 FLANN PSO优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]