自动化学科面临的挑战

本文分析了控制理论与应用、模式识别与智能系统、导航制导与控制、系统科学与工程、人工智能与自动化交叉等领域的发展现状. 结合科技发展、国内国际研究前沿和新兴领域对自动化科学技术的需求, 提出重点发展智能控制理论和方法、高性能作业机器人、信息物理系统、导航与控制技术、重大装备自动化技术、自主智能系统和人工智能驱动的自动化技术优先领域, 加强数据驱动控制理论、人工智能基础理论研究, 进一步发展人机协同、跨域融合的智能自动化, 为实现国家社会的全面信息化智能化提供理论和技术保障.

On Challenges in Automation Science and Technology

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.