Research on application of industrial intelligent control

In the global tide of artificial intelligence, China has its own specific opportunities. Since the financial crisis, with the market environment, technological progress, factor conditions, the accumulation of capital and other major changes in the situation, China's industrial sector has emerged the phenomenon of differentiation. The fact is that many enterprises have to transform, but also it has brought opportunities to China's industrial production. For example, China's industry can be combined with industrial innovation driven strategy to promote the transformation of the industry. In this article, I will first introduce the background of intelligent control. Then, I will introduce some of the advantages of intelligent control in industry. Furthermore, I would like to analyze the theory in the case of our industrial production. Finally, I put forward the prospect of the development of industrial intelligent control. Introduction Intelligent control is the advanced stage of the development of automatic control, artificial intelligence, control theory, information theory, system theory, bionics, evolutionary computation and computer integrated and highly integrated disciplines.It is also an emerging interdisciplinary science. As we all know, intelligent control is a very active and challenging field in the field of automation at home and abroad. It includes not only the automatic control, artificial intelligence, system theory and computer science, but also draw nutrition from biology, is becoming a branch of the field of automation and the rapid development of the most prosperous. The background of intelligent control From the perspective of the development of control theory, the development of this discipline has experienced three main stages, which are the following three stages: The first stage is from twentieth Century to 40, which is based on the theory of feedback control, which is based on feedback theory, and is a kind of linear control theory. Frequency analysis method based on transfer function, frequency characteristic and root locus. The analysis and design of single input single output, linear fixed length system. The second stage is from twentieth Century to 60 in the period of "modern control theory", the modern control theory mainly studies the optimal control problem of multivariable system with high performance and high precision. The method includes state space method, Bellman dynamic programming method, Kalman filtering theory and Pontryagin maximum principle. Modern control theory can solve the problem of multi input and multi output, the system can be linear fixed length, can also be nonlinear time-varying. The third stage is the "big system theory" and "intelligent control theory" period since 1970s. Because of the modern control theory too much reliance on the object mathematical model, the control algorithm design method is very ideal, digital, so in the face of difficult to describe with mathematical models or complicated systems with time-varying, nonlinear and uncertain characteristics, modern control system is incapable of action. In order to improve the quality of the control system and the ability of searching, researchers in the field of control began to consider the application of artificial intelligence technology in the control system. In recent years, researchers in the field of control to the traditional control theory and fuzzy logic, neural network, genetic algorithm and other intelligent technology to make full use of people's experience and knowledge to control the complex system, and gradually formed a new discipline of intelligent control. 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017) Copyright © 2017, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Engineering, volume 126