Modelling plant control strategies and their applications into a knowledge-based system

被引：4

作者：

Marumo, R. ^{[1
]}

Sebusang, S. E. M. ^{[1
]}

机构：

[1] Univ Botswana, Dept Mech Engn, Gaborone, Botswana

来源：

APPLIED SOFT COMPUTING | 2008年 / 8卷 / 01期

关键词：

fuzzy logic; knowledge-based systems; neuro-fuzzy control;

D O I：

10.1016/j.asoc.2007.01.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The high complexity of a plant control system related structuring the domain expert knowledge into a knowledge base could decrease task. This paper presents a strategy adopted to model the application of control strategies employed in surveyed companies. Control engineering plays an important part in any industrial plant. Good control and optimisation of correct control strategies is therefore very crucial for the effective running of a control task related establishment of any kind. The control strategy approaches, must be followed right from system identification, modelling, validation, test and implementation. These stages are not always transparent when dealing with a system whose mathematical model does not exist or is difficult to obtain. When faced with this kind of problem, control enhancement techniques, such as knowledge-based, and intelligent system are always an obvious alternative. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：261 / 273

页数：13

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