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自动化科学与技术发展方向
引用本文:柴天佑. 自动化科学与技术发展方向. 自动化学报, 2018, 44(11): 1923-1930. doi: 10.16383/j.aas.2018.c180252
作者姓名:柴天佑
作者单位:1.东北大学流程工业综合自动化国家重点实验室 沈阳 110819;;2.国家冶金自动化工程技术研究中心 沈阳 110819;;3.自动化研究中心 沈阳 110819
基金项目:中国工程院、国家自然科学基金委员会"2014年度中国工程科技中长期发展战略研究"L1422028中国工程院互联网+行动计划战略研究20352018-ZD-02国家自然科学基金61550002中国科协学科方向预测及技术路线图2015XKYL03中国工程院、国家自然科学基金委员会"2014年度中国工程科技中长期发展战略研究"2014-ZCQ-03
摘    要:本文结合中国自动化科学与技术的发展状况和中国绝大多数大学设有自动化专业的现状,借鉴自动化科学与技术发展历程中的成功经验,结合国家社会经济发展和国家安全对自动化系统的未来需求,以生产制造系统、重要运载工具和人参与的信息物理系统为主要对象,以自动化系统的发展方向—智能自主控制系统、智能优化决策系统和智能优化决策与控制一体化系统的愿景功能为目标,以研究实现愿景功能的建模、控制与优化新算法和新的自动化系统的设计方法和实现技术以及结合重大应用领域开展的应用研究为主线,提出了自动化科学与技术的发展方向,并结合新兴应用领域对自动化科学与技术的需求与挑战,提出了未来自动化科学与技术的发展方向.

关 键 词:智能自主控制系统   智能优化决策系统   智能优化决策与控制一体化系统   人参与的信息物理系统   人工智能驱动的自动化
收稿时间:2018-04-25

Development Directions of Automation Science and Technology
CHAI Tian-You. Development Directions of Automation Science and Technology. ACTA AUTOMATICA SINICA, 2018, 44(11): 1923-1930. doi: 10.16383/j.aas.2018.c180252
Authors:CHAI Tian-You
Affiliation:1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819;;2. National Engineering Research Center of Metallurgy Automation, Shenyang 110819;;3. Research Center of Automation, Shenyang 110819
Abstract: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.
Keywords:Intelligent autonomous control system  intelligent optimal decision-making system  integrated system of optimal decision-making and control  cyber-physical and human system  artificial intelligence driven automation
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