An overview of fuzzy modeling for control

被引：181

作者：

Babuska, R

Verbruggen, HB

机构：

[1] Department of Electrical Engineering, Control Laboratory, Delft University of Technology, 2600 GA Delft

来源：

CONTROL ENGINEERING PRACTICE | 1996年 / 4卷 / 11期

关键词：

fuzzy modeling; nonlinear modeling; identification; nonlinear control; fuzzy clustering; learning;

D O I：

10.1016/0967-0661(96)00175-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article some aspects of fuzzy modeling are discussed in connection with nonlinear system identification and control design. Methods for constructing fuzzy models from process data are reviewed, and attention is paid to the choice of a suitable fuzzy model structure for the identification task. Some approaches to control design based on a fuzzy model are outlined.

引用

页码：1593 / 1606

页数：14

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