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本文简要地剖析当前工业控制的发展及所面临的挑战,并对人工智能技术在控制领域中的现状和存在的问题作了概述。作者以傅京荪(Fu)和萨里特斯(Saridis)所提出的智能控制可以看作是人工智能、控制理论和运筹学相结合的观点为基础,结合作者近年来的研究工作实践,重点论述了人工智能技术在系统建模、状态估计、学习和优化控制等领域的应用,并给出丁工业应用和计算机仿真的结果.
This article briefly analyzes the current industrial control development and the challenges it faces, and gives an overview of the status quo and existing problems of artificial intelligence in the field of control. The author put forward that the intelligent control proposed by Fu and Saridis can be regarded as the combination of artificial intelligence, control theory and operational research. Based on the author’s research work in recent years, the author mainly discusses Artificial intelligence technology in the system modeling, state estimation, learning and optimization control and other fields, and gives the results of small industrial applications and computer simulation.