- Preliminary Program
- Call for Papers
- Conference Editorial Board
- Plenary Speakers
- Submitted Invited Sessions
- Registration Fees
- Travel & Accommodation
- EUCA Travel Support Program
- Best Student Paper Award
- Hosting Organization
- Visa Support
- Copyright Notice
- September 30 October 8, 2019 October 10, 2019
Paper submission deadline
- January 15, 2020
Notification of acceptance
- January 15, 2020
- February 15, 2020
February 17, 2020
February 19, 2020
Final paper upload
- February 15, 2020
Recommended date for visa support letter (invitation) request
- March 9, 2020
- May 12-15, 2020
(Northeastern University, USA)
Some Control Theory Ideas in Systems and Synthetic Biology
Wednesday, May 13, 09:00-10:00
A - 1216, WePA1
Eduardo Sontag's major current research interests lie in several areas of control and dynamical systems theory, systems molecular biology, cancer and immunology, and computational biology. He received his Licenciado degree from the Mathematics Department at the University of Buenos Aires in 1972, and his Ph.D. (Mathematics) under Rudolf E. Kalman at the University of Florida, in 1977. From 1977 to 2017, he was with the Department of Mathematics at Rutgers, where he was a Distinguished Professor of Mathematics. In 2018, Sontag was appointed as a University Distinguished Professor of Electrical and Computer Engineering and of BioEngineering at Northeastern University, where he is also an Affiliate Professor of Mathematics and Chemical Engineering. He is also in the faculty of the Laboratory of Systems Pharmacology at Harvard Medical School and a Research Affiliate at MIT. Sontag has authored over five hundred research papers and monographs and book chapters in the above areas with 48,000 citations and an h-index of 97 and is in the Editorial Board of several journals; in addition, he is a co-founder and co-Managing Editor of the Springer journal MCSS (Mathematics of Control, Signals, and Systems). He is a Fellow of IEEE, AMS, SIAM, and IFAC. Sontag was awarded the Reid Prize in Mathematics in 2001, the 2002 Hendrik W. Bode Lecture Prize and the 2011 Control Systems Field Award from the IEEE, the 2002 Board of Trustees Award for Excellence in Research from Rutgers, and the 2005 Teacher/Scholar Award from Rutgers.
A central concern of systems and synthetic biology is that of identifying, and understanding the roles of, signal transduction pathways and feedback loops, whether in natural systems or as an aid to engineer networks that exhibit a desired behavior. This talk will discuss how certain types of network qualitative information can be gleaned from "dynamic phenotypes", a term that we take as encompassing transient characteristics of temporal responses, particularly when using richer classes of probing signals than step inputs. Examples of dynamic phenotypes include fold-change detection (scale invariance), non-monotonic responses, and induced subharmonic oscillations. We will present theorems that relate different behaviors to circuit motifs, and touch upon biological applications at multiple scales, including enzymatic mechanisms, chemosensing, the generation of certain stress responses, and the kinetic recognition of self vs non-self by the immune system.
(Tel Aviv University, Israel)
Delayed and Sampled-data Control of ODE and PDE Systems
Wednesday, May 13, 12:30-13:30
A - 1216 WePB2
Emilia Fridman received the M.Sc. degree from Kuibyshev State University, USSR, in 1981 and the Ph.D. degree from Voronezh State University, USSR, in 1986, all in mathematics. From 1986 to 1992 she was an Assistant and Associate Professor in the Department of Mathematics at Kuibyshev Institute of Railway Engineers, USSR. Since 1993 she has been at Tel Aviv University, where she is currently Professor of Electrical Engineering-Systems. She has held visiting positions at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin (Germany), INRIA in Rocquencourt (France), Ecole Centrale de Lille (France), Valenciennes University (France), Leicester University (UK), Kent University (UK), CINVESTAV (Mexico), Zhejiang University (China), IPME RAS and ITMO University in St. Petersburg (Russia), Melbourne University (Australia), Supelec (France), KTH (Sweden).
Her research interests include time-delay systems, networked control systems, distributed parameter systems, robust control, singular perturbations and nonlinear control. She has published more than 150 articles in international scientific journals. She is the author of the monograph ''Introduction to Time-Delay Systems: Analysis and Control" (Birkhauser, 2014). She serves/served as Associate Editor in Automatica, SIAM Journal on Control and Optimization and IMA Journal of Mathematical Control and Information. In 2014 she was Nominated as a Highly Cited Researcher by Thomson ISI. Since 2018, she has been the incumbent for Chana and Heinrich Manderman Chair on System Control at Tel Aviv University. She is IEEE Fellow. She is currently a member of the IFAC Council.
Time-delays are frequently a source of instability, but for some systems, the presence of delay may have a stabilizing effect. A time-delay approach to sampled-data control, where the system is modeled as a continuous-time system with the delayed control input became popular in networked control systems, where the plant and the controller exchange data via communication network. In the present talk delay effects on stability, positivity and control will be discussed. A time-delay approach to sampled-data and network-based control of ODE and PDE systems will be presented, where variable sampling intervals, communication delays and scheduling protocols are taken into account. Differently from other approaches, this approach allows communication delays larger than the sampling intervals in the presence of scheduling protocols. As an application of PDE results, a network-based deployment of multi-agent systems via PDEs will be considered. Finally a very recent time-delay approach, this time to averaging, will be presented. Here the time-delay approach provides constructive upper bounds on the small parameter that preserve the stability.
(Concern CSRI "Elektropribor", St. Petersburg, Russia)
Prospects for Gyroscopy
Thursday, May 14, 09:00-10:00
A - 1216, ThPA1
(University of Twente, The Netherlands)
Physical Control for Physical Systems: Why and How
Thursday, May 14, 12:30-13:30
A - 1216, ThPB2
Stefano Stramigioli received the M.Sc. with honors (cum laude) from the University of Bologna (I) in 1992 and the Ph.D with honors (cum laude) in 1998 from the Delft University of Technology. Since 1998 he has been faculty member first as assistant, associate and currently full professor in Advanced Robotics University of Twente. Since 2017 he is also co-chairing the Bio-mechatronics and Energy-Efficient Robotics Lab at ITMO University.
He is an IEEE Fellow and has been an IEEE RAS officer for many years. Stefano is also a member of the Dutch academy of Science (KHMW). He is currently serving as the Vice President for Research of euRobotics, the private part of the PPP cooperation with the European Commission known as SPARC, the biggest robotic civil program worldwide. He has been Editor in chief of the IEEE Robotics and Automation Magazine. He has furthermore been Editor in Chief of the IEEE ITSC Newsletter and guest editor for others. He is member of the Editorial Board of the Springer Journal of Intelligent Service Robotics. He has been an AdCom member of the IEEE Robotics and Automation Society, he has been the founder and chair of the Electronic Products and Services of the IEEE Robotics and Automation Society and he has been serving as Vice President for Membership of the same society for two consecutive terms. He is involved in different projects related to Control and Robotics for medical, inspection and home and care applications. He is one of the authors and multimedia editor of the Springer Handbook of Robotics.
Among the award he received are the 2009 recipient of the IEEE-RAS distinguish service award, 2016 European Tech Transfer Award, and 2016 and 2017 Hamlyn Symposium Awards. In 2018 he won an ERC Advanced Research Grant with the PortWings project and became a principal for EU Healthcare Robotics Digital Innovation Hub.
Robotics is about control of physical systems and to be effective in robotics control, physically based methodology should be used. An introduction will be give about the concepts behing Energy Aware robotics and the reasons why this is sometimes the only way to go once interaction between robots and the environment is of importance. Examples will be given of the advangtages of such methodologies and the basic ideas and first results will be illustrated on how these techniques will be used in the ERC granted PortWings project related to the modeling and control of a robotics flying bird.
(ETH Zurich, Switzerland)
Online Feedback Optimization with Applications to Power Systems
Friday, May 15, 09:00-10:00
A - 1216, FrPA1
Florian Dörfler is an Associate Professor at the Automatic Control Laboratory at ETH Zürich. He received his Ph.D. degree in Mechanical Engineering from the University of California at Santa Barbara in 2013, and a Diplom degree in Engineering Cybernetics from the University of Stuttgart in 2008. From 2013 to 2014 he was an Assistant Professor at the University of California Los Angeles. His primary research interests are centered around control, optimization, and system theory with applications in network systems such as electric power grids, robotic coordination, and social networks. His students were winners or finalists for Best Student Paper awards at the European Control Conference (2013, 2019), the American Control Conference (2016), and the PES PowerTech Conference (2017). He is furthermore a recipient of the 2010 ACC Student Best Paper Award, the 2011 O. Hugo Schuck Best Paper Award, the 2012-2014 Automatica Best Paper Award, the 2016 IEEE Circuits and Systems Guillemin-Cauer Best Paper Award, and the 2015 UCSB ME Best PhD award.
Online feedback optimization refers to the design of feedback controllers that asymptotically steer a physical system to the solution of an optimization problem while respecting physical and operational constraints. For the considered optimization problem many parameters might be unknown, but one can rely on real-time measurements and the underlying physical system enforcing certain constraints. This problem setup is motivated by applications to electric power systems and has historic roots in communication networks and process control. In comparison to other optimization-based control strategies, transient optimality of trajectories is not the primary goal, and no predictive model, running costs or exogenous setpoints are required. Hence, one aims at controllers that require little model information, demand low computational cost, but that leverage real-time measurements. We design such controllers based on optimization algorithms that take the form of open and discontinuous dynamical systems. In this talk we discuss different algorithms such as projected gradient and saddle-point flows, their closed-loop stability when interconnected with physical systems, robustness properties, regularity conditions, and implementation aspects. Throughout the talk we demonstrate the potential of our methodology for real-time operation of power systems.
(INRIA, Ecole Polytechnique and Mines Paristech, France)
Towards a fault-tolerant quantum computer
Friday, May 15, 12:30-13:30
A - 1216, FrPB2
Mazyar Mirrahimi graduated from Ecole Polytechnique, France, in 2003, and from Mines Paristech with a PhD on Automatic Control in 2005. He was then hired as a permanent research scientist at INRIA in 2006. His initial research interests concerned nonlinear dynamical systems, geometric control and control of partial and stochastic differential equations. Later, he focused his research on quantum information and quantum control. From 2011 to 2013, he spent two years as a sabbatical visitor at the Applied Physics Department of Yale University, collaborating with the teams of Michel Devoret and Robert Schoelkopf. Through these collaborations, he has contributed to the design and analysis of various experiments on quantum error correction, quantum feedback control and quantum reservoir/dissipation engineering with superconducting circuits. He won ``Inria-French Academy of Science young researcher award'' in 2017. He is currently a director of research at INRIA, a part-time professor at Ecole Polytechnique, and a visiting scientist at Yale University. He is the leader of QUANTIC research team, a joint team between INRIA,
The remarkable recent progress in controlling quantum systems has led to an accelerated race towards building a useful quantum computer. A major portion of the recent developments deal with noisy quantum bits and aim at proving an advantage with respect to classical processors. However, in order to fully exploit the power of quantum physics in computation, developing fault-tolerant processors is unavoidable. In such a processor, quantum bits and logical gates are dynamically and continuously protected against noise by means of quantum error correction. While a theory of quantum error correction has existed and developed since mid 1990s, the first experiments are being currently investigated in the physics labs around the world. A central challenge in all these experiments is related to real-time feedback control required for error correction. I will explain how this central challenge can be attacked through passive control and dissipativity. I will also overview a series of recent experimental developments with superconducting circuits (the leading physical platform for developing such quantum processors).