A review of techniques for machine learning of real-time control strategies
作者:
RanjanVepa,
期刊:
Intelligent Systems Engineering
(IET Available online 1993)
卷期:
Volume 2,
issue 2
页码: 77-90
年代: 1993
DOI:10.1049/ise.1993.0009
出版商: IEE
数据来源: IET
摘要:
In this paper, techniques for machine learning of real-time control strategies are presented and reviewed from a control engineer's point of view. The objective is to present a consolidated view, both in the context of classical control theory and modern artificial intelligence practice. The review seeks to present the principal contributions to the field and the impact of these contributions on control engineering, particularly from the machine learning point of view.
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