Applied intelligent systems: blending fuzzy logic with conventional control

被引：11

作者：

Filev, Dimitar ^{[1
]}

Syed, Fazal U. ^{[2
,3
]}

机构：

[1] Ford Motor Co, Res & Adv Engn, Mfg & Vehicle Design & Safety Lab, Dearborn, MI 48121 USA

[2] Ford Motor Co, Res & Adv Engn, Sustainable Mobil Technol Program, Dearborn, MI 48120 USA

[3] Ford Motor Co, Res & Adv Engn, Hybrid Program, Dearborn, MI 48120 USA

来源：

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS | 2010年 / 39卷 / 04期

关键词：

fuzzy control; adaptive control; learning; industrial applications; intelligent systems;

D O I：

10.1080/03081071003696066

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The aim of this paper is to show that design of applied intelligent control systems requires different types of blending between fuzzy logic and conventional control systems. Two alternative automotive applications - a manufacturing process control problem and an advisory system for fuel efficient driving - that benefit from both fuzzy and control theories are reviewed and different levels of prioritisations of both approaches are discussed based on the specificity of the applications.

引用

页码：395 / 414

页数：20

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