| 一种新的复杂系统模糊辨识方法 |
| |
| 引用本文： | 张平安,李人厚.一种新的复杂系统模糊辨识方法[J].自动化学报,1997,23(6):817-821. |
| |
| 作者姓名： | 张平安 李人厚 |
| |
| 作者单位： | 1.西安交通大学系统工程研究所,西安 |
| |
| 摘 要： | 针对一阶Takagi-Sugeno模型辨识复杂系统的困难,提出一种新的模糊模型.这种模
型的结构在一阶Takagi-Sugeno模型的基础上,再进行一次非线性映射.文中运用卡尔曼滤
波算法的模糊神经元网络实现了这种模型.仿真结果表明该方法辨识精度高,且有良好的
实用性.
|
| 关 键 词： | 模糊辨识 模糊神经元网络 系统辨识 |
| 收稿时间： | 1995-9-11 |
A New Fuzzy Identification Method for Complex Systems |
| |
| Zhang Ping''an,Li Renhou.A New Fuzzy Identification Method for Complex Systems[J].Acta Automatica Sinica,1997,23(6):817-821. |
| |
| Authors: | Zhang Ping'an Li Renhou |
| |
| Affiliation: | 1.Institute of Systems Engineering,Xi'an Jiaotong Universit,Xi'an |
| |
| Abstract: | In this paper ,a new fuzzy model is presented to overcome the difficulty of using the first order Takagi Sugeno model to identify complex systems. The structure of the new model is based on the first order Takagi Sugeno model, but a nonlinear mapping is added to. In order to realize the model, a fuzzy neural network(FNN) with Kalman filter algorithm is then implemented. Simulation results show that this method is very efficient and practical. |
| |
| Keywords: | Fuzzy identificatioin fuzzy neural network system identification |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《自动化学报》浏览原始摘要信息 |
|
点击此处可从《自动化学报》下载全文 |
|
