首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一类非线性系统的模糊推理建模与控制仿真
引用本文:杨文光,赵海良.一类非线性系统的模糊推理建模与控制仿真[J].河北科技大学学报,2008,29(2):165-168.
作者姓名:杨文光  赵海良
作者单位:西南交通大学智能控制开发中心,四川成都,610031
摘    要:针对一类非线性系统,首先使用模糊推理建模法由输入输出数据对得到该系统的数学模型,然后直接对所得的模型进行变论域自适应模糊控制,最后在不同参考输入情况下进行了仿真实验,并与常规模糊控制进行了比较。结果表明,基于模糊推理模型基础上的变论域自适应模糊控制具有相当的普适性和非常好的跟踪性、实时性。

关 键 词:非线性系统  模糊推理建模  变论域自适应模糊控制  仿真
收稿时间:2007/12/4 0:00:00

Fuzzy modeling and control simulation for a nonlinear system
YANG Wen-guang and ZHAO Hai-liang.Fuzzy modeling and control simulation for a nonlinear system[J].Journal of Hebei University of Science and Technology,2008,29(2):165-168.
Authors:YANG Wen-guang and ZHAO Hai-liang
Institution:Intelligence Control and Development Center, Southwest Jiaotong University, Chengdu Sichuan 610031,China;Intelligence Control and Development Center, Southwest Jiaotong University, Chengdu Sichuan 610031,China
Abstract:This paper focuses on a nonlinear system.First,the fuzzy inference modeling method based on the data of input-output is applied to first-order nonlinear system,and a mathematical model is deduced.Then,the important tool,variable-universe adaptive fuzzy control method is used in the model directly.Finally the simulation experiments are carried out on different inference inputs,and compared with the standard fuzzy control.The results indicate the variable-universe adaptive fuzzy control based on the fuzzy inference model is widely applied with real-time and quick response.
Keywords:nonlinear system  fuzzy inference modeling  variable-universe adaptive fuzzy control  simulation
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《河北科技大学学报》浏览原始摘要信息
点击此处可从《河北科技大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号