Fuzzy modeling for nonlinear systems with structured data uncertainty

被引：0

作者：

Ding, Haishan ^{[1
]}

Mao, Jianqin ^{[1
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Div Res 7, Beijing 100083, Peoples R China

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2006年

关键词：

fuzzy modeling; data uncertainty; nonlinear robust model;

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, a new fuzzy modeling method with structured data uncertainty is proposed for nonlinear systems. The new robust modeling criterion which aims to minimize the worst-case residual error, is formulated. The algorithm to obtain the approximate solutions of modeling problems under the new criterion is given in consideration of data uncertainty with a known structure. The new method is superior to the existing nonlinear modeling approaches. The advantages of the new method are illustrated by simulation results.

引用

页码：1812 / +

页数：2

共 6 条

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