ACC 2014 Plenary and Semi-Plenary Lectures
Abstract: In the evolution of systems and control there has been an interesting interplay between the demands of new applications initiating the development of new methodologies and theories, and conversely theoretical or hardware developments enabling new applications. This talk will attempt to describe progress and interactions in this relationship. Also the role of design methodologies and theoretical results in the design of practical control systems will be discussed. Examples will be taken from flight control, automotive engine management together with some emerging areas.
Biography: Keith Glover received his BSc degree from Imperial College, London, and after two years in industry obtained a Kennedy Scholarship to study at MIT where he gained his PhD under the supervision of Jan Willems. His first faculty position was at the University of Southern California from which he moved back to the UK to a faculty position at the University of Cambridge where he has remained in the Department of Engineering. He served as head of this Department from 2002-09 and became emeritus professor in 2013.
His research has considered model reduction, robust control, H-infinity methods, with applications in flight control, and IC engine management system. His awards have included: IEEE CSS Axelby Prize(1990), Baker Prize (1991), FIEEE(1993), Technical Field Award (2001); Fellow of the Royal Society (1993); Fellow of the Royal Academy of Engineering (1999).
Abstract: Powerful model-based control tools have enabled the realization of modern clean and efficient automobiles. Our effort to minimize automotive pollution and fuel consumption at low cost is pushing us to control powertrain systems at their high efficiency limit where poorly understood phenomena occur. This semi-plenary story will highlight a few of these frontiers.
In the realm of internal combustion engines, a highly efficient gasoline engine with seemingly chaotic behavior will be controlled at the lean combustion stability limit. In the electrification realm, stressed-out batteries and dead-ended fuel cells will highlight the challenges and successes in understanding, modeling, and controlling highly efficient power conversion on-board a vehicle. With these highlights it will become clear that as we race to improve mileage by 50% over the next decade powertrain control engineers will take the driver's seat!
Biography: Anna G. Stefanopoulou is a Professor of Mechanical Engineering at the University of Michigan and the Director of the Automotive Research Center (ARC), a U.S. Army Center of Excellence in Modeling and Simulation of Ground Vehicles. Her current research efforts address estimation and control of internal combustion engines and electrochemical processes such as fuel cells and batteries.
She obtained her Diploma (1991, Nat. Tech. Univ. of Athens, Greece) in Naval Architecture and Marine Engineering and her Ph.D. (1996, University of Michigan) in Electrical Engineering and Computer Science. She was an assistant professor (1998-2000) at the University of California, Santa Barbara, a technical specialist (1996-1997) at Ford Motor Company and a visiting professor (2006) at ETH, Zurich.
She is an ASME Fellow (08), an IEEE Fellow (09), the Inaugural Chair of the ASME DSCD Energy Systems Technical Committee, a member of the SAE Dynamic System Modeling Standards Committee and a member of a U.S. National Academies committee on Vehicle Fuel Economy Standards. She was an elected member of the IEEE Control Systems Society (CSS) Board of Governors, and served as an associate editor of journals and member of multiple award committees in the IEEE and ASME societies.
She is a recipient of the 2012 University of Michigan, College of Engineering Research Award, the 2009 ASME Gustus L. Larson Memorial Award, a 2008 Univ. of Michigan Faculty Recognition award, the 2005 Outstanding Young Investigator by the ASME DSC division, a 2005 Henry Russel award, a 2002 Ralph Teetor SAE educational award, a 1997 NSF CAREER award and selected as one of the 2002 world’s most promising innovators from the MIT Technology Review. She has a book on Control of Fuel Cell Power Systems, 10 US patents, 5 best paper awards and 200 publications.
Abstract: Cyber-physical systems are the next generation of engineering systems, with applications spanning critical infrastructure control, automotive systems, energy conservation, environmental monitoring, and robotics. However, we still lack the ability to design such systems in a systematic and scalable manner. One of the major reasons for this fact is that these systems pose problems at the intersection of many different branches of systems theory. It is likely that successful analysis and design of cyber-physical systems will require porting of tools and techniques from many other disciplines to estimation and control. Thus, for instance, effects introduced by communication networks cannot be considered as an after-thought to the control design, security cannot be provided only through cryptography and must be inherent in the control algorithm design, and processor scheduling algorithms may not always be able to provide the control algorithm with as much resources as demanded. While a fully developed theory of cyber-physical systems will require much work and time, I will cover some examples from our recent work that illustrate this theme. By modeling specific aspects of the interaction of the cyber and physical parts of the system, I will discuss how tools from information theory, real-time systems, and learning theory can improve control performance.
Biography: Vijay Gupta received his B. Tech degree from the Indian Institute of Technology Delhi, and his M.S. and Ph.D . degrees from the California Institute of Technology, all in Electrical Engineering. He has served as a research associate at the Institute for Systems Research at the University of Maryland, College Park and as a consultant to the United Technologies Research Center. Since 2008, he has been an Assistant Professor of Electrical Engineering at the University of Notre Dame. His research and teaching interests lie in the general area of intersection of control, communication and processing. Specific problems include fundamental performance limits for control across communication networks, network protocol design for estimation and control, control with time-varying processing resources, and design of scalable network communication protocols. He won the NSF CAREER award in 2009 and the Donald P. Eckman Award from the American Automatic Control Council in 2013.
Abstract: General Electric (GE) has embarked on a journey of merging controls and big data to create brilliant machines and systems that will unlock unprecedented performance through self-improvement and self-diagnosis. In this talk we will review the evolution of industrial controls, its complexity and increasing scale, ultimately leading to the systems of systems that GE refers to as the Industrial Internet. We will also consider challenges and opportunities related to interoperability, security, stability, and system resilience, and discuss specific development cases around infrastructure optimization including grid power, rail networks, and flight efficiency.
The number of devices connected to the Internet exceeded the number of people on the Internet in 2008, and is projected to reach 50 billion in 2020; worldwide smart power meter deployment is expected to grow from 130 million in 2011 to 1.5 billion in 2020, 90% of new vehicles sold in 2020 will have on-board connectivity platforms, as compared with 10% in 2012. The Industrial Internet will deliver new efficiency gains, accelerating productivity growth much the same way that the Industrial Revolution and the Internet Revolution did. Controls are at the heart of this new revolution.
Biography: Juan is the Chief Technology Officer for GE’s Energy Management business, leading a team of 5,000 engineers in over 20 countries around the world.
Energy Management is GE’s electrification and automation business, a $7.5BB division serving a diverse array of customer segments including electric power transmission and distribution, renewable energy, oil and gas exploration and production, metals, mining, marine electric propulsion, commercial buildings and data centers, among others. The business has a complete portfolio of products and service offerings, including generators, primary equipment for high voltage utility applications, turnkey electrical substations, distribution automation products, circuit breakers and switchgear, variable speed motor drives, electrical motors, and a thorough suite of utility and industrial automation products. Under Juan’s leadership, the engineering team is responsible for designing and producing world-class products and solutions for the Energy Management businesses.
Prior to this role, Juan served as the Technology Director for the Electrical Technologies & Systems organization at GE Global Research, reporting to the Senior Vice President of GE Global Research. In this role, he led a global team of approximately 550 scientists and engineers, responsible for advanced technology development in the areas of semiconductor devices and packaging, electronics, electrical power conversion, controls and signal processing, in support of GE’s Energy, Oil & Gas, Aviation, Transportation and Healthcare businesses.
An avid Boilermaker through and through, Juan obtained all of his degrees from Purdue, starting with a B.S.M.E degree in 1994, followed by an M.S.M.E. degree in 1996, and finishing with a Ph.D. in mechanical engineering in 2000. Juan was born in Medellin, Colombia, South America.
Abstract: Networked control systems and distributed parameter systems can be viewed as instances of dynamical systems distributed in discrete and continuum space, respectively. This unified perspective provides insightful connections, and motivates new questions in both areas. Owing to the large number of degrees of freedom, these systems often display complex dynamical responses and phenomena.
Understanding these responses is an important challenge for analysis; mitigating these responses and quantifying fundamental performance limitations in the presence of architectural constraints on distributed controllers is the challenge for synthesis.
I will summarize some new directions in distributed systems research by outlining fascinating connections between distributed systems theory on the one hand, and canonical problems in turbulence and statistical mechanics on the other. In one class of problems, spatio-temporal dynamical analysis clarifies old and vexing questions in the theory of shear flow turbulence. In another class of problems, structured, distributed control design exhibits dimensionality-dependence and phase transition phenomena similar to those in statistical mechanics. It appears that such structured design problems, while difficult and non-convex for finite size systems, have sharp answers in the large system limit. I will argue that such results can be used to build a theory of fundamental performance limitations that are induced by network/spatial topological constraints.
These new directions provide exciting research opportunities and suggest that contact with other disciplines enriches both applications and theory of networked and distributed parameter systems. The study of systems with special structure provides informative answers to difficult analysis and synthesis problems. The systems theory and applications for such classes of problems are arguably still in their infancy, and many challenges with significant intellectual and societal impact remain wide open.
Biography: Bassam Bamieh is Professor of Mechanical Engineering at the University of California at Santa Barbara. He received his B.Sc. degree in Electrical Engineering and Physics from Valparaiso University (Valparaiso, IN) in 1983, and his M.Sc. and PhD degrees in Electrical and Computer Engineering from Rice University (Houston, TX) in 1986 and 1992 respectively. Prior to joining UCSB in 1998, he was an Assistant Professor in the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign (1991-98). His current research interests include Robust and Optimal Control, distributed control and dynamical systems, shear flow transition and turbulence, and active control in thermoacoustic energy conversion devices. He received several awards and honors for his research, including an IEEE Control Systems Society G. S. Axelby Outstanding Paper Award, an AACC Hugo Schuck Best Paper Award, and a National Science Foundation CAREER award. He is a Distinguished Lecturer of the IEEE Control Systems Society, a Fellow of the International Federation of Automatic Control (IFAC), and a Fellow of the IEEE.
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