A Fuzzy-Neural Network Control of Nonlinear Dynamic Systems

被引：1
|
作者：
Li Shaoyuan & Xi Yugeng (Shanghai Jiaotong University
机构：
来源：
JournalofSystemsEngineeringandElectronics | 2000年 / 01期
基金：
中国博士后科学基金;
关键词：
Fuzzy logic; Neural networks; Adaptive control; Nonlinear dynamic system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feedforward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications.
引用
收藏
页码：61 / 66
页数：6
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