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第25届中国过程控制会议是由中国自动化学会过程控制专业委员会组织召开的国际性学术会议。其宗旨是为海内外过程控制领域的专家、学者、研究生及工程师和专业技术公司提供一个学术交流、研讨和报告他们最新研究成果的机会，以便推动过程领域内控制科学和控制工程的发展。第25届中国过程控制会议定2014年8月9日-11日（8日报到）在美丽的海滨城市大连举行。本届会议由中国自动化学会过程控制专业委员会主办，由大连理工大学承办。借此机会，我们热忱欢迎国内外同行踊跃投稿并参加会议和学术交流。本次会议的一个突出特点是从所有投稿论文中评选出4篇论文在会议在Keynote报告，同时这4篇论文将被推荐到《Information Science》发表。本次会议另一个特色是将设立863专家论坛，邀请国家“十二五”863计划先进制造技术领域系统控制技术主题4名成员介绍863项目立项要求、评审程序和“十三五”863项目征集等。
本次会议邀请到5位国际知名学者作大会报告：
1、Professor Babatunde A. Ogunnaike
William L. Friend Chaired Professor of Chemical Engineering
Dean, College of Engineering
University of Delaware,
Newark, DE 19716
302-831-8017
Biological Control Systems: Dynamics & Control in Systems Biology
Babatunde A. Ogunnaike*
Department of Chemical and Biomolecular Engineering, University of Delaware
ogunnaike@udel.edu
The mammalian organism maintains stable, efficient and “near-optimal”
performance and homeostasis in the face of external and internal perturbations
via distinct biological systems ranging from the large-scale physiological (nervous, endocrine, immune,circulatory, respiratory, etc.), to the cellular (growth and
proliferation regulation, DNA damage repair, etc.), and the sub-cellular (gene expression, protein synthesis, metabolite regulation, etc). “Biological Control
Systems,” a sub-topic of Control Theory, arises from a control engineering perspective of the function, organization, and coordination of these multi-scale
biological systems and the control mechanisms that enable them to carry out
their functions effectively. Control system block diagrams and appropriate
mathematical models are used to obtain a fundamental understanding of (a) the organization and characteristics of biological control systems (including the differences and similarities between them and engineering control systems), and (b) how physiological variables are controlled across multiple length- and time- scales by these biological control systems.
In this presentation, we provide an overview of the general themes used to establish the importance of dynamics and control in understanding complex biological systems, and select for discussion, in order to illustrate content, concepts, and principles, some specific examples with significant research and clinical implications
(Ca++ Regulation ; Human Balance; DNA damage repair; and Platelet Deficiency Control).
Prof. Ogunnaike received Ph.D. degree from University of Wisconsin–Madison, USA in 1981. He was a research engineer and later research scientist at the E.I. du Pont deNemours and Co.,Wilmington, Delaware, from 1989 to 2002. Since 2002 he has been a full Professor in the Department of Chemical Engineering at the University of Delaware, where he has been the dean of College of Engineering since 2011. He has become a fellow of US National Academy of Engineering since 2012. He has been an Associate Editor of Industrial & Engineering Chemistry Research since 1999 and was an Associate Editor of IEEE Transactions on Control Systems Technology from 1996 to 1999. He is the author and co-author of 5 books and more than 200 technical papers in journals and conferences. His research interests include Process Synthesis & Design, Process Modeling and Identification for Control, Applied Statistics for Process Operation, Modeling and Analysis of Biological Systems, and Applications of Probability and Statistics in Molecular Biology.
2、桂卫华 教授 中国工程院院士 中南大学
报告题目：流程工业知识自动化内涵探讨
报告摘要：随着信息化与工业化的不断深化融合，流程工业作为国民经济的支柱产业，正朝着高效、绿色、集成化方向发展，使得流程工业的调控越来越需要复杂分析、精确判断和创新决策，现有自动化理论与方法往往显得无能为力，而操作人员总能凭经验进行调控与决策。在工业互联网与大数据的环境下，流程工业向智慧企业发展，智慧企业的核心是“知识＋自动化”。为此，结合流程工业面临的新问题和新挑战，分析知识自动化提出的背景与需求，讨论了知识型工作自动化和知识自动化，探讨了流程工业知识自动化的内涵，阐述了流程工业知识自动化四层次的体系结构，以期进一步凝练流程工业知识自动化的科学问题和关键技术，从而推动流程工业知识自动化理论方法、技术和应用的系统深入研究。
个人简历：桂卫华(1950.08.07-)有色金属工业自动化专家。湖北省武汉市人。1981年毕业中南矿冶学院工业自动化专业，获硕士学位。现任中南大学教授、国家自然科学基金创新研究群体学术带头人、“有色冶金自动化”教育部工程研究中心主任。长期致力于复杂有色金属生产过程控制理论、技术和工程应用研究，解决了铜铝铅锌等有色金属冶炼及铝加工过程的自动化关键技术问题，应用成效显著。获国家科技进步二等奖3项，省部级一等奖6项；2009年获何梁何利基金科学与技术进步奖、2012年获湖南光召科技奖。
3 Professor Dr-Ing.Frank Allgöwer
Institute for Systems Theory and Automatic Control,
University of Stuttgart Pfaffenwaldring, 970550 Stuttgart, Germany
Introduction: He studied Engineering Cybernetics and Applied Mathematics at the University of Stuttgart and the University of California at Los Angeles respectively. He received his Ph.D. degree in Chemical Engineering from the University of Stuttgart. Prior to his present appointment he held a professorship in the electrical engineering department at ETH Zurich. He also held visiting positions at the California Institute of Technology, the NASA Ames Research Center, the DuPont Company and the University of California at Santa Barbara. His main interests in research and teaching are in the area of systems and control with emphasis on the development of new methods for the analysis and control of nonlinear systems. Of equal importance to the theoretical developments are practical applications and the experimental evaluation of benefits and limitations of the developed methods. Applications range from control of atomic force microscopes and biomedical applications to the control of roller coasters and systems biology. At present, he is Editor for the journal Automatica, Associate Editor of the Journal of Process Control and is on the editorial board of several further journals including the Journals of Robust and Nonlinear Control, IET Control Theory and Applications, Canadian Journal of Chemical Engineering, the journal Chemical Engineering Science and the Springer Lecture Notes in Control and Information Sciences Series. Among others he serves on the scientific council of the German Society for Measurement and Control (GMA), is on the Board of Governors of the IEEE Control System Society, is chairman of the IFAC Technical Committee on Nonlinear Systems, is member of the IFAC Policy Committee and chairman of the International Affairs Committee of IEEE CSS and has been a member of the council of the European Union Control Association. Frank Allgöwer has been organizer or co-organizer of several international conferences and has published over 150 scientific articles. He received several recognitions for his work including the IEEE distinguished lectureship, the appointment as IFAC Fellow and the Leibniz prize, which is the most prestigious prize in science and engineering awarded by the Deutsche Forschungsgemeinschaft (DFG).
4、Professor S. Joe Qin
Department of Chemical Engineering and Materials Science
University of Southern California,USA
Process Data Analytics-Present and Future
Abstract: For engineering systems where processes, units, and equipment are designed with well-intended purposes and hopefully operated under well-controlled circumstances as designed, mechanistic models and principles are dependable. However, for emerging circumstances that are not factored in the design, data become indispensable assets for the decision-making in safe and efficient operations. In this plenary we discuss the essence of big data, how data have been ffectively used in process operations and control, and new perspectives on how process systems engineering might evolve to a new paradigm of data-enhanced operations and control. The discussed perspectives include i) mining of time series data for event discovery, decision-making, and causality analysis; ii) exploring the power of new machine learning techniques that have enjoyed tremendous development in nearly two decades; and iii) anticipating a system architecture shift towards a data-friendly information system.
Introduction: Dr. Qin is a Fellow of IEEE and Fellow of the International Federation of Automatic Control (IFAC). He is a recipient of the National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, Chang Jiang Professor of Tsinghua University, Thousand Talent Professor of the Northeastern University of China, and an IFAC Best Paper Prize for the model predictive control survey paper published in Control Engineering Practice. He is currently an Associate Editor for Journal of Process Control, IEEE Control Systems Magazine,and a Member of the Editorial Board for Journal of Chemometrics. He has published over 100 papers in SCI journals, with over 4800 ISI WoS citations and an h-index of 38. Dr.Qin’s research interests include process data analytics, process monitoring and fault diagnosis, model predictive control, system identification, building energy optimization, semiconductor process control, and control performance monitoring.
5、Professor Jay H.Lee
Departement of Chemical and Biomolecular Engineering
KAIST Daejeon,Korea
Renewable Energy Supply Chain Optimization: A Challenge for Control Engineers?
Abstract: Renewable energy supply chain optimization problems are characterized by a large number of options,significant amounts of uncertainty and multi-scale nature of decisions. This presentation examines these characteristics through practical examples and offers some promising research directions. The problem of large number of processing stages/options will be first introduced through a microalgae-based bio-refinery design problem. Superstructure based modeling and optimization will be presented as a tool to investigate the problem at a high level. Then, the presentation will move onto the issue of coupling between long-term planning decisions like capital investment and policy and shorter-term decisions like production capacity operation and logistics. This aspect manifests itself as a large number of decision variables and constraints complicating solution of the optimization. The optimization complexity gets greatly amplified when the issue of uncertainty is added to the problem. We will examine both two stage and multi-stage problems. Examples of biofuel processing supply chain and energy portfolio optimization for power generation will be used to bring out the essential features and complications. For solutions, stochastic programming and approximate dynamic programming will be introduced.
Introduction: Jay H. Lee obtained his B.S. degree in Chemical Engineering from the University of Washington, Seattle, in 1986, and his Ph.D. degree in Chemical Engineering from California Institute of Technology, Pasadena, in 1991. From 1991 to 1998, he was with the Department of Chemical Engineering at Auburn University, AL, as an Assistant Professor and an Associate Professor. From 1998-2000, he was with School of Chemical Engineering at Purdue University, West Lafayette, and then with the School of Chemical Engineering at Georgia Institute of Technology, Atlanta from 2000-2010. Currently, he is the Head of the Chemical and Biomolecular Engineering Department at KAIST and Director of Saud Aramco-KAIST CO2 Management Center, Korea. He has held visiting appointments at E. I. Du Pont de Numours, Wilmington, in 1994 and at Seoul National University, Seoul, Korea, in 1997. He was a recipient of the National Science Foundation’s Young Investigator Award in 1993 and was elected as an IEEE Fellow and an IFAC(International Federation of Automatic Control) Fellow in 2011 and AIChE Fellow in 2013. He was also the recipient of the 2013 Computing in Chemical Engineering Award given by the AIChE’s CAST Division. He published over 140 manuscripts in SCI journals with more than 3500 ISI citations. His research interests are in the areas of system identification, state estimation, robust control, model predictive control and approximate dynamic programming.
会议日程
2014年8月8日 报到
2014年8月9日-11日 会议
