On Challenges in Automation Science and Technology

被引：0
|
作者：
Sun C.-Y. [1 ]
Wu G.-Z. [2 ]
Wang Z.-H. [2 ]
Cong Y. [2 ,3 ]
Mu C.-X. [4 ]
He W. [5 ]
机构：
[1] School of Automation, Southeast University, Nanjing
[2] Department of Information Sciences, National Natural Science Foundation of China, Beijing
[3] State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang
[4] School of Electrical and Information Engineering, Tianjin University, Tianjin
[5] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2021年 / 47卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Artificial intelligence; Automation science and technology; Autonomous intelligent system; Cyber-physical system; Equipment automation technology; Navigation guidance and control; Robot;
D O I：
10.16383/j.aas.c200904
中图分类号：
学科分类号：
摘要：
This paper analyzes the current development of automation science and technology, including fields of control theory and application, pattern recognition and intelligent system, navigation guidance and control, system science and engineering, as well as the interdisciplinary research of artificial intelligence and automation. Combining with the requirements of science and technology development, domestic and international research frontiers, and emerging technologies, the priority areas and specific research directions are put forward to develop intelligent control theory and methodology, high performance robot, cyber-physical system, navigation and control technology, equipment automation technology, autonomous intelligent system and artificial-intelligence-based automation. It is expected to establish the theory framework of data-driven control and artificial-intelligence-based automation. With the intelligent automation of human-machine cooperation and multi-technology integration, it will provide theoretical and technical support for the realization of comprehensive intelligent society. Copyright © 2021 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：464 / 474
页数：10
相关论文
共 21 条
  • [1] Wang Cheng-Hong, Song Su, Liu Yun-Gang, The more and more important effort of scientfic foundation on the subject of control theory and applications, China Basic Science, 12, 6, pp. 38-42, (2010)
  • [2] 2016-2017 development report of control science and engineering, (2018)
  • [3] Chai Tian-You, Development directions of automation science and technology, Acta Automatica Sinica, 44, 11, pp. 1923-1930, (2018)
  • [4] Bao Wei-Min, Qi Zhen-Qiang, Zhang Yu, Thoughts on the development of intelligent control technology, Scientia Sinica Informationis (in Chinese), 50, pp. 1267-1272, (2020)
  • [5] Wu Guo-Zheng, Analysis of the status and trend of the development of China's automation discipline from F03 funding of NSFC, Acta Automatica Sinica, 45, 9, pp. 1611-1619, (2019)
  • [6] Deng Fang, Song Su, Liu Ke, Wu Guo-Zheng, Fu Jun, Data and research hotspot analyses of national natural science foundation of china in automation field, Acta Automatica Sinica, 44, 2, pp. 377-384, (2018)
  • [7] Arenas A, Diaz-Guilera A, Kurths J, Moreno Y, Zhou C., Synchronization in complex networks, Physics Reports, 468, 3, pp. 93-153, (2008)
  • [8] Qian Feng, Du Wen-Li, Zhong Wei-Min, Tang Yang, Problems and challenges of smart optimization manufacturing in petrochemical industries, Acta Automatica Sinica, 43, 6, pp. 893-901, (2017)
  • [9] He W, Li Z, Chen C L P., A survey of human-centered intelligent robots: Issues and challenges, IEEE/CAA Journal of Automatica Sinica, 4, 4, pp. 602-609, (2017)
  • [10] Zheng Nan-Ning, Liu Zi-Yi, Ren Peng-Ju, Ma Yong-Qiang, Chen Shi-Tao, Yu Si-Yu, Et al., Hybrid-augmented intelligence: Collaboration and cognition, Frontiers of Information Technology & Electronic Engineering, 18, pp. 153-179, (2017)
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