CCDC 2020
23-25 May

Keynotes

Title: To be announced.

Prof. Anuradha Annaswamy

Massachusetts Institute of Technology, USA

Abstract

To be announced.

Biography

Dr. Anuradha Annaswamy is Founder and Director of the Active-Adaptive Control Laboratory in the Department of Mechanical Engineering at MIT. Her research interests span adaptive control theory and its applications to aerospace, automotive, and propulsion systems as well as cyber physical systems such as Smart Grids, Smart Cities, and Smart Infrastructures. Her current research team of 15 students and post-docs is supported at present by the US Air-Force Research Laboratory, US Department of Energy, Boeing, Ford-MIT Alliance, and NSF. She has received best paper awards (Axelby; CSM), Distinguished Member and Distinguished Lecturer awards from IEEE CSS, and a PYI award from NSF. She is a Fellow of IEEE and IFAC. She will serve as the CSS President in 2020.


Title: To be announced.

Prof. Wen Gao

Beijing Univ., China

Abstract

To be announced.

Biography

Prof. Wen Gao now is a Boya Chair Professor and the Director of Faculty of Information and Engineering Sciences at Peking University. He also serves as the President of China Computer Federation (CCF) from Feb. 2016,the Chairman of Board of Directors of Artificial Intelligence Industry Technology Innovation Strategic Alliance, The Deputy Director of National Standardization Technical Committees and the President of Audio and Video Coding Standard Workgroup (AVS).

Prof. Gao received his Ph.D. degree in electronics engineering from the University of Tokyo in 1991. He works in the areas of multimedia and computer vision, including video coding, video analysis, multimedia retrieval, face recognition, multimodal interfaces, and virtual reality. His most cited contributions are model-based video coding and face recognition. He published six books and over 800 technical articles in refereed journals and proceedings in above areas. He earned many awards from Country and Technical Society, such as one second class award in technology invention by the State Council, and six second class awards in science and technology achievement by State Council.

He is a fellow of IEEE, a fellow of ACM, and a member of Chinese Academy of Engineering.


Title: To be announced.

Prof. Rodolphe Sepulchre

University of Cambridge, UK

Abstract

To be announced.

Biography

Rodolphe Sepulchre received the engineering degree and the Ph.D. degree from the Université catholique de Louvain in 1990 and in 1994, respectively. From 1994-1996, he was as postdoctoral research associate at the University of California, Santa Barbara. In 1997, he joined the Université de Liege, where he was professor until 2013. In 2013, he joined Cambridge University and also became a professioral fellow of Sidney Sussex College. He held visiting positions at Princeton University (2002-2003), the Ecole des Mines de Paris (2009-2010), Caltech (2018), and part-time positions at the University of Louvain (2000-2011) and at INRIA Lille Europe (2012-2013).

His research interests are in nonlinear control and optimization theory. He co-authored the monographs "Constructive Nonlinear Control" (Springer-Verlag, 1997) and "Optimization on Matrix Manifolds" (Princeton University Press, 2008). From 2009, his research has been increasingly motivated by control questions from neuroscience. A current focus is his ERC advanced grant "Switchlets", aiming at a multi-scale control theory of excitable systems.

He is currently Editor-in-Chief of the IEEE Control Systems Magazine and an Associate Editor for Annual Review in Control, Robotics, and Autonomous Systems. He was Editor-in-Chief of Systems and Control Letters from 2009-2018 and has also served as an Associate Editor for several journals, including, Transactions on Network Science and Engineering, Automatica, SIAM Journal of Control and Optimization, the Journal of Nonlinear Science, and Mathematics for Control, Signals, and Systems. In 2008, he was awarded the IEEE Control Systems Society Antonio Ruberti Young Researcher Prize. He is a fellow of IEEE, SIAM, and IFAC. He has been IEEE CSS distinguished lecturer between 2010 and 2015. In 2013, he was elected at the Royal Academy of Belgium.


Systems and Control Theory for Advanced Manufacturing.

Prof. Richard D. Braatz

Massachusetts Institute of Technology, USA

Abstract

The world is seeing renewed interest in advanced manufacturing, which can be seen in a number of initiatives from governments and industry-government partnerships with such names as Industry 4.0 and Smart Manufacturing. After discussing the role of cyber-physical systems, the Internet of Things, and cloud computing, this presentation describes systems and control theories that underpin the actual processes employed in the manufacturing of high-tech products. These manufacturing processes typically have (1) high to infinite state dimension, (2) probabilistic uncertainties, (3) time delays, (4) unstable zero dynamics, (5) actuator, state, and output constraints, (6) stochastic noise and disturbances, and (7) phenomena described by combinations of algebraic, ordinary differential, partial differential, and integral equations (that is, generalizations of descriptor/singular systems). Key points are illustrated for fully automated, advanced, and modular manufacturing systems developed at MIT. Stochastic model predictive control formulations are presented that have the flexibility to handle linear dynamical systems with these characteristics, while employing projections and shifting of the most expensive calculations offline so that the online computational cost is low. Implementation to a detailed mechanistic model of an advanced drug manufacturing plant demonstrates an order-of-magnitude improved robustness of the product quality to model uncertainties while having an online optimization cost of less than 1 second. Some extensions to nonlinear dynamical systems are discussed.

Biography

Richard D. Braatz is the Edwin R. Gilliland Professor at the Massachusetts Institute of Technology (MIT) where he does research in applied mathematics and control theory and their application to advanced manufacturing systems. He received MS and PhD from the California Institute of Technology and was on the faculty at the University of Illinois at Urbana-Champaign and a Visiting Scholar at Harvard University before moving to MIT. He is a Fellow of IEEE and IFAC, and a member of the U.S. National Academy of Engineering.