Development Directions of Automation Science and Technology

被引：0
|
作者：
Chai T.-Y. [1 ,2 ,3 ]
机构：
[1] State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang
[2] National Engineering Research Center of Metallurgy Automation, Shenyang
[3] Research Center of Automation, Shenyang
来源：
Chai, Tian-You (tychai@mail.neu.edu.cn) | 1923年 / Science Press卷 / 44期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence driven automation; Cyber-physical and human system; Integrated system of optimal decision-making and control; Intelligent autonomous control system; Intelligent optimal decision-making system;
D O I：
10.16383/j.aas.2018.c180252
中图分类号：
学科分类号：
摘要：
This paper takes into account the current status of automation science and technology development as well as the existing automation undergraduate programs in many Chinese universities at the moment; while lending from the successes in automation science and technology developmental history combined with future demands for automation systems to aid in the economic development and national security of China; taking manufacturing systems, important vehicles and cyber-physical and human system as research objects, this paper proposes that the future of automation systems be directed towards transforming into intelligent autonomous control system, intelligent optimal decision-making system and integrated system of intelligent optimal decision-making and control. With a research focus geared towards practical application, new algorithms of modeling, control and optimization for the prospective functions of the developing automation systems with subsequent design of methods and implementation techniques for new automation systems are taken as development directions of automation science and technology. Finally, this paper proposes that the future direction for development in the field of automation science and technology should be based on the current challenges and requirements that have emerged in new areas of application. Copyright © 2018 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：1923 / 1930
页数：7
相关论文
共 39 条
  • [1] Jms-Jounela S.L., Future trends in process automation, Annual Reviews in Control, 31, 2, pp. 211-220, (2007)
  • [2] Chai T.-Y., Jin Y.-H., Ren D.-X., Contemporary Integrated Manufacturing System Based on Three-layer Structure in Process Industry, Control Engineering of China, 9, 3, pp. 1-6, (2002)
  • [3] Kehoe B., Patil S., Abbeel P., A Survey of Research on Cloud Robotics and Automation, IEEE Transactions on Automation Science and Engineering, 12, 2, pp. 398-409, (2015)
  • [4] Lamnabhi-Lagarrigue F., Annaswamy A., Engell S., Systems and control for the future of humanity, research agenda: Current and future roles, impact and grand challenges, Annual Reviews in Control, 43, pp. 1-64, (2017)
  • [5] Implementing 21st Century Smart Manufacturing, (2011)
  • [6] Grasp the future of German manufacturing industry and put forward proposals for implementing "industry 4. 0" strategy (Chinese version), (2013)
  • [7] Executive Office of the President U. S. Artificial Intelligence, Automation and the Economy, (2016)
  • [8] Executive Office of the President, National Science and Technology Council, Committee on Technology, U. S. Preparing for the Future of Artificial Intelligence, (2016)
  • [9] Murray R.M., Control in an information rich world: Report of the panel on future dire ctions in control, dynamics and systems, (2003)
  • [10] Samad T., Annaswamy A., The impact of control technology: Overview, success stories, and research challenges, IEEE Control Systems Society, 31, 5, pp. 26-27, (2011)
1234