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基于MATLAB的非线性系统模糊建模及仿真
引用本文:许丽佳,陈阳舟.基于MATLAB的非线性系统模糊建模及仿真[J].计算机仿真,2004,21(5):49-53.
作者姓名:许丽佳  陈阳舟
作者单位:北京工业大学信息与控制工程学院,北京,100022
摘    要:该文主要介绍了利用MATLAB的fuzzy工具箱来解决非线性系统的模糊建模问题的几种方法,讲解了模糊建模的设计原理与步骤,在MATLAB环境中用编程和可视化编辑两方法来解决建模问题,针对原有方法的不足给出了改进,并给出程序设计。通过一个非线性实例设计了它的自适应神经网络模糊模型,从仿真结果可看出改进后的非线性系统模型更有效。

关 键 词:模糊建模  模糊神经网络  可视化  减法聚类
文章编号:1006-9348(2004)05-0049-04
修稿时间:2003年3月1日

Fuzzy Model Building and Simulation for Nonlinear System Based on MATLAB
XU Li-Jia,CHEN Yang-Zhou.Fuzzy Model Building and Simulation for Nonlinear System Based on MATLAB[J].Computer Simulation,2004,21(5):49-53.
Authors:XU Li-Jia  CHEN Yang-Zhou
Abstract:Based on MATLAB fuzzy box, this paper present different methods to build fuzzy model for nonlinear system, introduce the design and processes. It can solve fuzzy model by program and visual compilation under the MATLAB environment, It also give improvement to the shortage of old method and give it's program. By designing a self-adapt neural fuzzy model for a nonlinear system , we can draw a conclusion that the new nonlinear model has high precision and good visual effect.
Keywords:Fuzzy modeling  Fuzzy neural network  Visualization  Subtract clustering
本文献已被 CNKI 维普 万方数据 等数据库收录!
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