Plenary lectures will be delivered on each of the three days as part of the conference program. Confirmed plenary speakers are Dr. Peter Terwiesch (President, Industrial Automation division, Member of the Group Executive Committee of ABB Ltd, Switzerland), Dr. Anuradha Annaswamy (Senior Research Scientist, Department of Mechanical Engineering, MIT), and Dr. Angeliki Pantazi (IBM).

Control, automation and digitalization: an industrialist's perspective (click here to download the slides of the presentation)
Dr. Peter Terwiesch
President Industrial Automation
ABB Ltd, Zurich, Switzerland

Closing loops has been a key paradigm in automatic control for a long time, enabling better and more consistent performance of the underlying processes around which control loops were closed. Control was one of several enablers for the first three industrial revolutions. During most time since the introduction of digital technologies for closed-loop control, memory, processing power and communication bandwidth limitations were the active constraints towards the application of advanced control concepts in industry. During the last two decades, the continued advances in underlying information technologies delivered by "Moore's law" have gradually lifted those constraints, except for the most complex control problems. Today, efforts related to process modelling and control engineering are increasingly the active constraints that limit further progress. Automation continues to evolve, from originally isolated applications to today's typically connected ones, towards more collaborative and, ultimately, more autonomous operations. Latest with the declaration of a "Fourth Industrial Revolution" since 2012, work has been intensified on deploying new sensing and information technologies towards closing new loops. Beyond traditional variables, such as throughput or product quality, availability and performance of the production assets are being added to the consideration., Self-configuration, mass customization and, more generally, the automation of knowledge work are declared as objectives. Information is combined across the traditionally separate operations and enterprise/IT domains and different sensors, models, and algorithms are required to extend close-loop control concepts to a much broader domain. This presentation aims at presenting a snapshot of this development from an industrial perspective, using current industrial application examples to identify both actual progress and areas for further research and development.

Peter Terwiesch leads ABB's global Industrial Automation division, a $7bn business with 25'000 employees, since 2015. Prior responsibilities during his 24 years with ABB include regional management of ABB's Central European business (2011-2014), Group Chief Technology Officer (2005-2011), as well as a number of other technology and business roles. Since 2010, he has also been an external board member of Metall Zug AG, a Swiss listed company. Peter studied Electrical Engineering at Karlsruhe Institute of Technology and ENSPS Strasbourg, and obtained his PhD from ETH Zürich for a thesis on robust nonlinear control of chemical batch processes, with Manfred Morari. He has authored 12 patents and more than 40 peer-reviewed scientific publications. Peter is actively engaged in the engineering and science community, served the International Electrotechnical Commission (IEC) as a member of its market strategy board (2008-2011) and automation sector board (2003-2006), and taught nonlinear control at ETH Zürich (1999-2002). He also served on BP's Technology Advisory Council (2006-2012), Wall Street Journal's Innovation Award jury (2005-2011), IEEE's control systems award committee (2008-2010) and several other advisory and steering boards. In 2013, Peter was elected as a fellow of IFAC.

Transactive Control for Urban Mobility in Smart Cities (slides of the presentation will be available soon)
Dr. Anuradha Annaswamy
Senior Research Scientist
Massachusetts Institute of Technology

The concept of Smart City is gaining popular attention with the goal of sustainability and efficiency, the needs of enhancing quality and performance, and the explosion of technological advances in communication and computation. Given that 50% of the world's population lives in urban regions, critical infrastructures of energy, transportation, and health and their growing interdependencies have to be collectively analyzed and designed to provide the substrate for the realization of the Smart City Concept. This talk will address one of these infrastructures, of Urban Mobility in Transportation. With the growth and expansion of many large metropolitan centers in the last few decades, the problem of traffic congestion continues to grow and vex commuters, commercial drivers, city planners and officials, and environmentalists worldwide. Over 1 billion vehicles travel on the roads today, and that number is projected to double by 2020. Driving a car is an unavoidable choice for at least 50% of city populations, who rely on their vehicles to get to school or to work. When it comes to mobility, tremendous number of opportunities exist for the deployment of dynamic and real-time solutions using availability of data, fast and reliable communication, and ease of computation using the cloud and edge intelligence. This talk will examine one such solution, of Transactive Control, the concept of feedback through economic transactions, for Urban Mobility. Two specific examples of transactive control will be addressed, the first of which is the synthesis of dynamic toll prices with the goal of reducing traffic congestion in highways. The second example of transactive control is in the context of Mobility on Demand, where new modes of transportation other than private and public are being proposed, providing a smorgasbord of options for passengers. In both cases, the use of dynamic tariffs and feedback control principles using computational and dynamic models of the underlying socio-technical system including the transportation network and behavioral models of drivers and riders will be explored.

Dr. Anuradha Annaswamy is a Senior Research Scientist in the Department of Mechanical Engineering and the Director of Active-adaptive Control Laboratory at MIT. She received her Ph.D. in Electrical Engineering from Yale University in 1985. She has been a member of the faculty at Yale (1988), Boston University (1988 - 91), and MIT (1991 - present). Her research interests pertain to adaptive control theory and applications to aerospace, automotive, and propulsion systems, cyber physical systems science, and CPS applications to Smart Grids, Smart Cities, and Smart Infrastructures. She is the author of over a hundred journal publications and numerous conference publications, co-author of a graduate textbook on adaptive control (2004) and co-editor of several reports including "Systems and Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges," (Elsevier) "IEEE Vision for Smart Grid Control: 2030 and Beyond," (IEEE Xplore) and Impact of Control Technology. Dr. Annaswamy has received several awards including the George Axelby and Control Systems Magazine best paper awards from the IEEE Control Systems Society (CSS), the Presidential Young Investigator award from NSF, the Hans Fisher Senior Fellowship from the Institute for Advanced Study at the Technische Universitaat Muenchen, the Donald Groen Julius Prize from the Institute of Mechanical Engineers, a Distinguished Member Award, and a Distinguished Lecturer Award from IEEE CSS. Dr. Annaswamy is a Fellow of the IEEE and IFAC. She has served as the Vice President for Conference Activities (2014-15), and is currently serving as the VP for Technical Activities (2017-18) in the Executive Committee of the IEEE CSS.

Advanced control technologies for magnetic tape data storage (click here to download the slides of the presentation)
Dr. Angeliki Pantazi
Research Staff Member
IBM Research-Zurich

In the era of Big Data, the continuous explosive growth of digital archives is driving the demand for cost-effective storage technologies. Magnetic tape systems constitute an integral part of current tiered storage infrastructures and are well suited for long- term data storage thanks to their low total cost of ownership, low power consumption, very high reliability and long media lifetime. To meet the growing need for cost-effective storage, it is critical to continue to scale the areal density and the cartridge capacity of tape systems. Key elements towards target tape capacities of 100 TB and beyond are enhanced track-following servo technologies, which allow positioning control on flexible tape media down to the nanometer scale. Furthermore, accurate tape tension and velocity control during tape transport will enable the use of thinner tape, which in turn enables increased cartridge capacity. In this talk, the focus is on advanced technologies for tape transport and track-following control that achieve nanoscale positioning as well as their role in today’s and future tape storage systems.

Angeliki Pantazi is a Research Staff Member at the IBM Research-Zurich in Switzerland. She received her Diploma and Ph.D. degrees in Electrical Engineering and Computer Technology from the University of Patras, Greece, in 1996 and 2005, respectively. In 2002, she joined IBM Research-Zurich as a Ph.D. student and became a Research Staff Member in 2006. She was named IBM Master Inventor in 2014 and became a senior member of the IEEE in 2015. She was a co-recipient of the 2009 IEEE Control Systems Technology Award for contributions to nanopositioning for MEMS-based storage and other applications, the 2009 IEEE Transactions on Control Systems Technology Outstanding Paper Award, the 2011 IBM Pat Goldberg Memorial Best Paper Award and the 2014 International Federation of Automatic Control (IFAC) Industrial Achievement Award for the application of advanced control technologies in the nano-domain to magnetic tape data storage. She is the recipient of the 2017 IEEE Control Systems Society Transition to Practice Award, for the development of advanced control technologies for magnetic tape data storage and nanopositioning applications. Her research interests include multiple control-related aspects of data storage systems, where she particularly contributed in the research and development of advanced servo control technologies for magnetic tape drive systems. Recently, her research is also focusing on neuromorphic technologies combined with emerging memory concepts such as phase-change memory. She has published more than 90 refereed articles and holds over 40 granted and pending patents.