KNOWLEDGE-BASED SYSTEMS FOR INDUSTRIAL CONTROL.

被引：1

作者：

Efstathiou, Janet ^{[1
]}

机构：

[1] Queen Mary Coll, Queen Mary Coll

来源：

Computer-aided engineering journal | 1987年 / 4卷 / 01期

关键词：

ARTIFICIAL INTELLIGENCE - Expert Systems;

D O I：

10.1049/cae.1987.0004

中图分类号：

学科分类号：

摘要：

This paper concentrates on the role of knowledge-based systems in the areas of control, detection and diagnosis of faults, scheduling and planning. It argues that the application of knowledge-based techniques can provide a unification of these and other activities, and outlines the requirements of knowledge representation and inference techniques that are needed to make such systems a reality. The advances in hardware, including sensors as well as computers, that will be driven by and in turn stimulate the introduction of the knowledge-based industrial control systems are also considered.

引用

页码：7 / 20

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