基于知识的过程控制的整体方法

J. McGhee
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引用次数: 1

摘要

考虑到基于知识的过程控制(KBPC)的性质和范围,提出人工智能、系统工程和信息技术是该学科的三个核心要素。本文描述了这三种方法的某些方面。系统工程方法基于整个生命周期的全系统考虑,这被认为是KBPC的基础。应用分类学或分类科学的原则,导致控制仪器系统的层次观点,这有助于获得对信息机器的广泛理解。通过首先介绍系统工程方法和分类方法,本章允许进一步发展一般自动控制系统的核心理论要素,特别是在过程控制中。在基于知识的过程控制系统技术中突出的基本要素也允许使用这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Holistic approaches in knowledge-based process control
A consideration of the nature and scope of knowledge based process control (KBPC), leads to the proposal that Artificial Intelligence, Systems Engineering and Information Technology are three core elements of the discipline. Some aspects of all three are described. Systems Engineering methods are based upon whole life whole system considerations which are argued to be fundamental to KBPC. Applying the principles of taxonomy, or classification science, leads to a hierarchical perspective of control instrumentation systems which helps to gain breadth of comprehension of information machines. By first introducing the Systems Engineering approach and the methods of taxonomy, the chapter allows further development of the core theoretical elements in automatic control systems in general but especially in process control. Highlighting of the cardinal elements in the technology of knowledge based process control systems is also allowed using these methods.
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