The MOE Key Laboratory of System Control and Information Processing was authorized to be established by Ministry of Education in 2007. It is supported by the State 1st level discipline Control Science and Engineering and a few related areas of State 1st level discipline Instrument Science and Technology of Shanghai Jiao Tong University.
Efforts have been made to develop and construct the theoretical and technological platform of system control and information processing by focusing on three main research areas namely the predication, control and optimization of complex systems, autonomous supervision and service systems, health-and safety-oriented image information processing.
The Lab currently has over 40 members, of whom there are 38 scholars holding a doctorate degree, two national talents of New Century Hundred-Thousand-Ten Thousand Talent Project, four Cheung Kong Scholars, and four winners of the National Science Foundation for Distinguished Young Scholars and so forth. It covers an area of 3,200 square meters including offices for official business work and experiments. The instruments and equipments it owns are worth over 17 million yuan including 116 ones whose each value is 10 thousand yuan or more.
The overall goal of the Lab is to build itself into an internationally renowned lab with frontier academic research and its own distinctive characteristics. In specific, its research should be at the leading edge and gain some creative and original of the various important fields in system control and information processing to reach the world- advanced level in technology and application and plays a vital role in the economic and social development of China, especially Shanghai Municipality.
Predictive Control for Complex Practical Systems Simulation for Nuclear Power Distributed Control System
Intelligent Vehicle Robot Soccer
Target Recognition Geographical information system
Neurosurgery Navigation Face Recognition
Prof. Guan Xinping: He received Ph.D. degree in Control and Systems from Harbin Institute of Technology, China in 1999. He has been working at Yanshan University as Full Professor and Dean of Institute of Electrical Engineering since 1998. He joined Shanghai Jiao Tong University in Sept. 2007. Currently, he is a Professor of the Department of Automation and the vice president of Scientific Research Institution at Shanghai Jiao Tong University. He is currently a Senior Member of IEEE, the Professor of "Cheung Kong Scholar" Program, appointed by Ministry of Education of P. R. China in 2005, and the winner of "National Outstanding Youth Foundation", granted by NSF of China (NSFC) in 2005. In 2007, he was elected as "State-level Candidate" of "New Century Bai Qianwan Talent Project".
Prof. Guan has authored and/or coauthored one research monographs, two textbooks and more than 95 referred SCI indexed journal papers and numerous conference papers. His current research interests include industrial wireless sensor networks, cognitive radio, multi-agent systems and nonlinear time-delay systems. He was one of the First Prize Winners of University Natural Science Award from The Ministry of Education of China in 2003 and 2007, respectively. He received the "IEEE Transaction on Fuzzy Systems Outstanding Paper Award for 2005" from the IEEE Intelligent Computation Society in 2008. In 2008, he also received the Second Prize of National Natural Science Award from The Ministry of Science and Technology of China.
Prof. Guan is a committee member of Chinese Automation Association. He serves as Associate Editor for IEEE Transaction on System, Man and Cybernetics-C, as Editorial Board Committee Member for the several Chinese journals, e.g. Acta Automatica Sinica, Control Theory and Applications and Control Engineering, Control and Decisions and Computer Simulation etc., and as International Technical Committee Member for many conferences.
Chai Tianyou: Director of Automation Center of Northeastern University, Academician of Chinese Academy of Engineering (Director)
Wu Hongxin: Professor of 502nd Research Institute of China Aerospace Corporation Organization (CASC), Academician of Chinese Academy of Sciences (Deputy Director)
Wang Tianran: Professor of Automation Center of Shenyang, Chinese Academy of Sciences and the director of the Academic Committee (Deputy Director)
Wu Qidi: Vice- president of Ministry of Education
Chen Hanfu: Professor of Institute of Systems Science of Chinese Academy of Sciences, Academician of Chinese Academy of Sciences
Li Deren: Professor of Wuhan University, Academician of Chinese Academy of Sciences
Cao Xiren: Professor of the Hong Kong University of Science and Technology
Zhou Donghua: Professor of Tsinghua University, Head of the department of Automation
Wang Feiyue: Professor of Institute of Automation of Chinese Academy of Sciences
Chu Jian: Vice-president of Zhejiang University, Director of State Key Laboratory of Industrial Control Technology
Yugeng Xi: Professor of Shanghai Jiao Tong University
The research aims to conduct a study in leading-edge scientific topic and produce innovative achievements in line with international frontier area of scientific and technological development and the national strategy demand for complex system, cataclysmic formation and predictive control in the Outline of the National Program for Long-and Medium-Term Scientific and Technological Development (2006-2020).
Current main research areas include but not limited to:
- Complex Network and Predictive Control
- Optimization Control and Scheduling of Complex Industrial Production Systems
- Real Time Traffic Supervision, Prediction and Optimization
- Supervision and System Integration of Large Scale Processes and Equipments
The expected goals to achieve are as follows: catch up with the world-advanced level, form a team with a great international influence and plays a vital role in promoting the research on related areas in China in the field of complex system, predictive control and optimal scheduling. To meet the needs of technological and economic development of China, particularly Shanghai, we plan to become a major research base for urban traffic and equipment supervision and system integration, thus, we are capable of undertaking national key research projects and tackling problems in key technologies.
The research focuses on the study and development on the basic theory, key technologies, kernel software and prototyping systems of autonomous supervision and service systems and on the construction of a pleasant research and experiment environment for autonomous supervision and service system in accordance with the strategic target of major national science and technology projects on frontier techniques of intelligent service robot and high-resolution earth observation system in the Outline of the National Program for Long-and Medium-Term Scientific and Technological Development (2006-2020).
Current main research areas include but are not limited to:
- Micro Intelligent Embedded Diagnosis System
-The application of key technologies and system of Mobile Sensor Networks
-Autonomous service robot for the elderly and the disabled.
- Intelligent Autonomous Vehicle
The expected goals to achieve are as follows: catch up with the world- advanced level in the basic theory and key technologies of autonomous supervision and service systems, and to develop into a major base for studying and industrializing China's service robot. A miniature invasive intelligent system for examining human alimentary canal will succeed in finishing its prototype and be applied to clinical diagnosis, develop various kinds of prototype of service robot for the elderly and the disabled and finish the establishment of its demonstration base, complete the prototype design of intelligent autonomous vehicles and have them on trial in Shanghai, provide all types of air observation platforms with air positioning and the control, measurement and communication technologies for fly track and put into use under the actual flying circumstances.
The research aims at providing technology and application system to informationize and intelligentize health, security and national defense by conducting studies on the leading-edge technologies of feature recognition, medical image processing, information processing of remote sensing and aerospace on the basis of the related topics about population and health, public security and national defense in the Outline of the National Program for Long-and Medium-Term Scientific and Technological Development (2006-2020).
Current main research areas include but are not limited to:
- Medical Image-guide Diagnosis and Surgical Navigation
- Feature Recognition and Target Tracking
- The Characteristics and Classification of Bio-information
- Remote Sensing, Telemetry and Space Information System
The expected goals to achieve are as follows: reach the world-advanced level in the basic theory and key technologies of the above-mentioned areas, accomplish the development of a set of computerized surgical navigation systems worthy of clinical application based on medical image processing, have our own distinguishing characteristic in the academic research on feature recognition and succeed in developing the application system or prototype for social public security. On the other hand, make a breakthrough, develop a serve system with proprietary intellectual property rights and come into use in the intelligence and automation of space information system construction and information processing of remote sensing.
He proposes the concept of Chaos feedback control for the first time in the world, and applies the pinning control of complex network to flocking control. So far, a number of innovative achievements have been gained in the theoretical analysis and algorithm design of flocking control with virtual leaders and flocking control with network connectivity. In addition, he gained the support of National Science Foundation for Distinguished Young Scholars and of several National Natural Science Foundation of China (NSFC); moreover, he won the Guillemin-Cauer Award of 2005 IEEE Circuits and Systems Society and the First Award for Science of Shanghai in 2008.