Parallel Control: A Data-Driven and Computational Control Method for Complex Systems

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Fei-Yue Wang

The State Key Laboratory of Management and Control for Complex Systems

Chinese Academy of Sciences Beijing, China

Abstract

This presentation introduces the concept, architecture, processes and applications of a new method for data-driven and computational control for complex systems. We start with the difference between the proposed system expansion scheme for parallel control through cyber-physical-social (CPSS) interaction and the traditional divide-and-conquer method for parallel computing through concurrent task execution. The theory of parallel control is based on the ACP approach where artificial systems are used for modeling and representation, computational experiments are utilized for analysis and evaluation, and parallel execution are conducted via CPSS interaction for control and management of complex systems. Parallel control can be considered as an extension of feedback control, especially adaptive control, in the cyberspace for dealing with problems involved with both social and engineering complexities. Case studies of this new control approach in transportation, production, and social management are illustrated and discussed.

Biography

Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he found the Intelligent Control and Systems Engineering Center at the Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program, and in 2002, was appointed as the Director of the CAS Key Lab for Complex Systems and Intelligence Science. From 2006 to 2010, he was Vice President for research, education, and academic exchanges at the Institute of Automation, Chinese Academy of Sciences. Since 2005, he is the Dean of the School of Software Engineering, Xian Jiaotong University. In 2011, he became the Director of the State Key Laboratory of Management and Control for Complex Systems. Dr. Wang was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, the Series on Intelligent Control and Intelligent Automation from 1996 to 2004, and IEEE Intelligent Transportation Systems in 2007, the EiC of IEEE Intelligent Systems from 2009 to 2012, and is the current EiC of IEEE Trans on ITS. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Currently, he is the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang is member of Sigma Xi and an elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the 2nd Class National Prize in Natural Sciences of China and awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively.