CCDC 2020
23-25 May

特别专题

网联车辆与未来智能交通系统(投稿代码: CVFST)

主席:郭戈 教授

东北大学,中国

geguo@yeah.net

Abstract

  网联汽车(CAVs)中的车辆具有与相邻车辆收集、共享交通信息和车辆状态信息的能力。近年来,随着V2X技术不断发展、成熟,CAVs被认为是一种有前途的技术,为下一代智能交通系统(ITS)提供更高的安全性和移动性。另一方面,人工智能(AI)、大数据(BD)技术为我们提供了强大的工具和更多的可能性来开发新型智能ITSs技术。本专题从理论和实际的角度出发,对AI 和 BD相关技术在网联汽车和智能交通系统中的研究现状、进展、取得的成果(理论、实验)及存在的挑战性难题进行交流与讨论。

Biography

   郭戈 ,东北大学特聘教授、博士生导师,大连海事大学博士生导师。
  1994和1998年分获东北大学控制科学与工程专业学士和博士学位。主要研究方向为智能交通系统、共享出行系统、网联车辆协同控制、信息物理融合系统的优化与控制,在IEEE TAC、Automatica、IEEE TITS、IEEE TVT等国际国内权威期刊和学术会议发表论文200余篇,其中SCI收录近百篇,国际期刊长文40余篇,高被引论文8篇。曾获甘肃省科技进步一等奖和自然科学二等奖、辽宁省科技进步一等奖等奖项,荣获中国自动化学会青年科学家奖、教育部新世纪优秀人才、甘肃省十大杰出青年提名、霍英东教育基金项目获得者、辽宁省百千万人才、浙江省钱江学者讲座教授、大连市领军人才等荣誉。
  现为IEEE高级会员、中国自动化学会控制理论专委会、过程控制专委会、综合智能交通专委会、车辆控制与智能化专委会、信息物理系统控制与决策专委会委员,IEEE Intelligent Transportation Systems Magazine副编、Information Sciences副编、Journal of Control and Decision副编、Int. J. Systems, Control & Communications执行主编、《自动化学报》、《控制与决策》、《控制工程》等期刊编委,先后获Annual Reviews in Control 等多个国际期刊杰出审稿人。


智能制造与工业智能 (投稿代码: SMII)

主席:刘士新 教授

东北大学,中国

liushixin@ise.neu.edu.cn

Abstract

  智能制造是制造业与人工智能、云计算、物联网、大数据等新一代信息技术深度融合,实现制造业转型升级和创新发展的重要途径。
  为了促进我国智能制造理论、方法、技术和系统的研究和发展,加强学术交流和推广应用,本届会议设立“智能制造特别专题”,旨在通过本专题交流智能制造相关领域的最新研究成果和进展。征文方向主要为:智能分析与决策;智能物流与供应链;智能生产计划与调度;智能制造知识管理;智能制造服务管理;工业大数据及其在智能制造中的应用;智能工业机器人;信息物理系统及智能工厂。

Biography

  刘士新,现任东北大学信息科学与工程学院教授。国家重点研发计划项目负责人,担任中国系统工程学会理事、物流系统工程专业委员会副主任委员、管理系统工程专业委员会委员、中国自动化学会应用专业委员会委员、《控制与决策》编委、宝钢集团兼职教授、建龙钢铁特聘教授。长期从事智能优化方法、机器学习、智能制造等理论方法和技术研究。近年来,承担国家重点研发计划项目、国家自然科学基金重点及面上项目、863、辽宁省自然科学基金以及大型企业科研项目50余项。申请国家发明专利10项,出版专著1部,在国内外重要学术期刊和会议上发表论文100余篇。


新能源控制与智能能源 (投稿代码: NECSE)

主席:孙秋野 教授

东北大学,中国

sunqiuye@ise.neu.edu.com

Abstract

Smart energy is an environmentally friendly energy system which has functions of learning, adaptation and self-organization to meet the requirements of system security, economy, cleanliness and high efficiency. Smart energy with advanced new energy control can not only alleviate the energy crisis and pressure, adapt to the needs of human development, but also promote the progress of civilization and accelerate the industrial transformation. Therefore, smart energy should be the focus of research now and in the future.

Smart energy, especially the new energy control, still has great potentials for making further progress. The performance of smart energy is limited by computational complexity, heterogeneous data, multiple time scale and so on. The high requirements such as analysis of complex operating conditions, real-time optimization of hybrid energy motivate smart energy to improve control method or consider combining with diversified advanced method. Further research is essential to advance the development of smart energy and sustainable energy control.

Biography

Qiuye Sun , Professor and Doctoral supervisor at Northeastern University, Shenyang, China, has obtained Special Government Allowances from the State Council in China and been rewarded as one of Young and middle-aged leading scientists from the Ministry of science and technology and New Talents from the Ministry of Education in China. His current research interests include the model and optimal operation of Energy Internet, the multi-energy management and optimization of Distributed Energy System, the coordination and control of Multi-agent System, machine learning and its application in energy system, etc.

He is the secretary-general of the Energy Internet Committee in the Society of Automation, the deputy director of the New Energy Science Group the IEEE PES conference committee in China and the member of the committee of the Intelligent Energy System Committee in the Chinese Society of Artificial Intelligence, the Energy Internet Committee in the China Energy Research Institute, the committee on control and decision of cyber physical system in the Society of Automation and the Energy Internet Equipment Technology Committee in the China Electrical Technology Society. Also, he serves as the Associate Editor of IEEE TNNLS, IET CPS:T&A, IEEE Access, IEEE/CAA Journal of Automatica Sinica, CSEE Journal of Power and Energy Systems and Journal of Control and Decision.


智慧城市的控制与管理 (投稿代码: D11)

主席:王亚慧 教授

北京建筑大学,中国

yahui-wang@vip.sina.com

Abstract

This session has been held for fifth consecutive years, and this is the sixth time. The purpose is to bring the building field engaging in automation and intelligence together to cooperate and communicate with each other. Experts and scholars, graduate students in the areas related to the Control and Management on Smart City (Buildings) are invited to submit their original research results. The articles cover the following topics: (1) Big data and cloud computing technology of smart city. (2) Self-diagnosis techniques of electrical & equipment faults in buildings. (3) Health Management of municipal engineering and equipment (such as water supply, drainage, heating, gas system and others). (4) Control and detection technology in underground utility tunnels. (5) Robot application technology in buildings. (6) Application of Internet of Things, wireless sensor network technology in intelligent building system. (7) Development and application research on building information model (BIM). (8)New technology of building fire protection and security. (9) Energy-saving technology research of building power supply, renewable energy and new energy. (10) Environmental monitoring and control technology of modern architecture. (11) Building automation (such as: building 3D printing, refabricated building). (12) Application of image and video processing and pattern recognition technology in the buildings. (13) Motion control in the building equipment and environment (such as: elevator control). (14) Process control in the building equipment and environment (such as: the control of air conditioning). (15) Application of advanced control theory in the intelligent building system. (16) Intelligent of engineering construction management. (17) Disaster prevention and mitigation and emergency decision-making of urban lifeline (power supply, water supply, drainage, heating, gas, urban rail transit and other systems).

Biography

Yahui Wang, Department chairman of Automation, Beijing University of Civil Engineering and Architecture. He is a leader for the constructions information and detection control engineering group. In addition, he has the following duties:Vice chairman, building robot professional committee of Chinese Association of Automation. Executive director of Beijing Association of Automation. Member of National Standardization Technical Committee for Electrical Installations of Building (SAC/TC205). Member-Project Management Credentials and Occupation Skill Appraisal Expert Committee, Ministry of Labor and Social Security , PRC. Member of Emergency Management Research Committee, China and IPMA. His research interests include (1) Building Environment and Automatic Detection and Control base on wireless sensor network, (2) Fault Diagnosis and the Fault-tolerant Control of Gas and Construction Equipment and Environmental Engineering and Maintenance, (3) Gas conversion in Energy Internet, (4) Project Management, Emergency Management in Construction.


分数阶微积分与分数阶系统 (投稿代码: FCFS)

主席:薛定宇 教授

东北大学,中国

xuedingyu@mail.neu.edu.cn

Abstract

Fractional calculus and fractional-order systems are rapid developing topics in science and engineering of today. For certain systems, the integer-order modeling techniques may not yield accurate descriptions to the systems behaviors, especially to the systems with memories. Fractional calculus brings in a new way in system modeling, and successful cases can be found in control theory, mathematics, mechanics, biology, chemistry, and signal and image processing. The research areas in the special session include fundamental theory in fractional calculus, numerical algorithms and implementations in fractional calculus, stability and qualitative analysis of fractional-order systems, strategies and algorithms in fractional-order control systems, modeling, analysis, simulation and design in fractional-order controls, modeling, identification and applications in special materials, fractional derivative modeling of physical processes in complex media, fractional calculus applications in signal and image processing, fractional calculus applications in science and engineering.

Biography

Dingyu Xue received his doctorate from Sussex University, England in 1992. He is now a professor at Northeastern University, China. He started the research work on fractional calculus and control since earlier 2000s, and had contributions include high-precision algorithms, simulation schemes for fractional-order differential equations of any complexity, and fractional-order controller design. His recent monograph “Fractional-order Control Systems – Fundamentals and Numerical Implementations” (Berlin: De Gruyter, 2017) bridges the gap between the theoretical work and numerical implementation, such that any research may try to introduced fractional calculus into his own fields and compare the results. His MATLAB FOTF Toolbox was among the earliest toolboxes in fractional-order control community and the recent versions are used extensively by the researchers worldwide.


未来机器人技术及应用 (投稿代码: FRTA)

主席:张敬兵 博士

国际数据公司亚太总部,新加坡

jbzhang@idc.com

Biography

   张敬兵 博士现任国际数据公司亚太总部研究总监,负责领导IDC全球机器人研究项目。专注于机器人、工业4.0/工业互联网、智能制造、数字工厂、MES、仓储物流系统自动化等前沿技术及其行业应用。2008-2015年任职于库里-索法公司,任高级研发与工程总监、新加坡工程部主管,负责领导全自动半导体封装装备技术和产品研发。1992-2008年任职于新加坡制造技术研究院,历任高级研究员、项目经理、研究室主任、资深科学家、研究院管理委员会委员、副院长等职。
  张敬兵博士常常作为演讲人受邀出席各种业内活动,并曾在美国CNBC国际、CNBC亚洲管理、新加坡亚洲新闻(CNA)等电视台的节目上接受采访。他的见解也常被刊登在各种多媒体出版物中,包括香港《南华早报》、英国《卫报》,美国《外交家》杂志、中国《创业邦》、《中国信息化》,《21世纪经济报道》,《彭博新闻社》,长江商学院《知识》杂志、新加坡《亚太装备新闻》等。
  张敬兵博士1985年毕业于清华大学自动化系获工学学士学位;1992毕业于英国拉夫堡大学机械与制造工程学院获博士学位; 2001年毕业于英国伯明翰大学获MBA (Distinction) 学位。2003 获新加坡工程师学会颁发“IES卓越工程成就奖”。2006/2007 在欧洲工商学院INSEAD(法国)高管班脱产进修。IEEE高级会员,IEEE工业电子学协会(IES)管委会委员,IEEE工业电子学协会(IES)新加坡分会主席/副主席等,曾任IEEE Transactions on Industrial Electronics (工业电子学期刊) 副主编,在国际学术期刊、国际学术会议发表论文80余篇。


主席:李政国 教授

Institute for Infocomm Research, Singapore

ezgli@i2r.a-star.edu.sg

Biography

   李政国 :分别在1992年及1995年从中国东北大学获得理学学士学位和工程硕士学位。 他在2001年从新加坡南洋理工大学获得博士学位。之后,他在新加坡资讯通信研究院工作。李博士的研究方向包括:高动态成像技术,视频编码及传输,机器人导航,QoS,切换系统,以及混沌通信。他有190多篇论文被国际顶尖杂志和会议发表包括46篇IEEE Transactions和3篇AUTOMATICA。 他有一本专著被Spring-Verlag 出版发行。李博士也广泛参与国际视频标准的制定,他有三个提案被H.264/AVC 接收以及三个提案被HEVC接收。同时,李博士有11个获准美国专利。
  李博士是IEEE Transactions on Image Processing和IEEE Signal Processing Letters的一个副编委。他分别被2011 IEEE Signal Processing Summer School on “3D and High Definition/High Contrast Video Processing Systems”及IEEE INDIN2012 邀请做大会报告。 李博士也广泛参与组织各类国际学术会议。他是IEEE ICIEA的发起人之一,并 在2011和2016年担任IEEE ICIEA 2011 大会总主席。他是SIGGRAPH ASIA Technical Briefs 的发起人之一,在2013 年担任IEEE ICME 2013 Workshop 主席,从2013年起担任CCDC2013 大会副主席,等等。


智能感知与先进传感、检测技术 (投稿代码: IASDT)

主席:赵勇 教授

东北大学,中国

zhaoyong@ise.neu.edu.cn

Abstract

In modern industrial production, to make the equipment work well and achieve the best quality in the normal state or the best state, it is needed to use a variety of detection technologies to intellisense and control various parameters of the production lines. Now the sensor industry is at a critical stage of developing miniaturized, multi-functional, digital, intelligent, systematic and networked sensors.

This special session is positioned to give a snapshot of the current state of the art in the field of sensing, instrumentation and related fields, particularly from the applied perspective, and is also intended to give a broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future.

Researchers and specialists in the areas related to the IntelliSense and Advanced Sensing, Detection Technology will present their original research results covering the following topics: Intelligent monitoring and fault diagnosis in the process of production; Novel sensing theory, methods and technology; Advanced detection technology, intelligent instrument and apparatus; Internet of Things based intelligent sensing system theory and technology; Machine vision and intelligent information processing; Automatic identification methods and technology for biological feature; Monitoring, detection and sensing technology in Intelligent Transportation; Monitoring, detection and sensing technology in Smart Power Grids; IntelliSense and sensing technology in robot; Sensing technology and systems in intelligent diagnosis and treatment; Smart home and IntelliSense; IntelliSense and wireless sensor network; Smart skin, intelligent

Biography

Yong Zhao received his M.A. and Ph.D. degrees, respectively, from the Harbin Institute of Technology, China, in 1998 and 2001. He was a postdoctoral fellow in Tsinghua University from 2001 to 2003, and then worked as an associate professor in the Department of Automation, Tsinghua University of China. In 2006, he was a visiting scholar of University of Illinois in Urbana and Champagne, USA. In 2008, he was awarded as the “New Century Excellent Talents in University” by the Ministry of Education of China. In 2009, he was awarded as the “Liaoning Bai-Qian-Wan Talents” by Liaoning Province. In 2011, he was awarded by the Royal Academy of Engineering as an academic research fellow of City University London. In 2014, he was awarded by the National Science Foundation for Distinguished Young Scholars of China. In 2015, he was honored as the Yangtze River Scholar Distinguished Professor by the Ministry of Education of China. Now he is working in Northeastern University as a full professor. As the academic leader and director of his research institute, his current research interests are the development of fiber-optic sensors and device, fiber Bragg grating sensors, novel sensor materials and principles, slow light and sensor technology, optical measurement technologies. He has authored and co-authored more than 260 scientific papers and conference presentations, 24 patents, and 5 books. He is an associate editor-in-chief of ACTA AUTOMATICA SINICA, and a member in the Editorial Boards of the international journals of Sensor Letters, Instrumentation Science & Technology, Journal of Sensor Technology, and Advances in Optical Technologies.