A multitasking knowledge-based system for control applications

被引：0

作者：

Tolun, MR ^{[1
]}

Baykal, N ^{[1
]}

Abu-Shaar, S ^{[1
]}

机构：

[1] Eastern Mediterranean Univ, Dept Comp Engn, Gazimagusa, Turkey

来源：

COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - EVOLUTIONARY COMPUTATION & FUZZY LOGIC FOR INTELLIGENT CONTROL, KNOWLEDGE ACQUISITION & INFORMATION RETRIEVAL | 1999年 / 55卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Knowledge-based systems can provide several intelligent features for control applications, which decrease their dependency on human operators. As industrial systems become more complex, the response time and the amount of thinking required to control a large number of instruments far surpass the capability of humans. This paper describes a knowledge-based tool architecture that is supported by a multitasking inference engine and an interfacing hardware for data acquisition. The tool Features a high-level language for creating rules, models and procedures. It also includes concurrent execution of rules and the ability to reason about behavior over time.

引用

页码：513 / 518

页数：6

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