AWARDS

Richard E. Bellman Control Heritage Award:

Recipient: Manfred Morari

Citation: For pioneering contributions to the theory and application of robust process control, model predictive control, and hybrid systems control

Manfred Morari was appointed head of the Department of Information Technology and Electrical Engineering at ETH Zurich in 2009.  He was head of the Automatic Control Laboratory from 1994 to 2008.  Before that he was the McCollum-Corcoran Professor of Chemical  Engineering and Executive Officer for Control and Dynamical  Systems at the California Institute of Technology. He obtained the  diploma from ETH Zurich and the Ph.D. from the University of  Minnesota, both in chemical engineering. His interests are  in hybrid systems and the control of biomedical systems. In  recognition of his research contributions he received numerous  awards, among them the Donald P. Eckman Award and the John  R. Ragazzini Award of the Automatic Control Council, the Allan  P. Colburn Award and the Professional Progress Award of the  AIChE, the Curtis W. McGraw Research Award of the ASEE,  Doctor Honoris Causa from Babes-Bolyai University, Fellow  of IEEE and IFAC, the IEEE Control Systems Field Award, and was elected  to the National Academy of Engineering (U.S.). Manfred Morari  has held appointments with Exxon and ICI plc and serves on the  technical advisory boards of several major corporations.

John R. Ragazzini (Education) Award:

Recipient: James B. Rawlings

Citation: For outstanding contributions to automatic control education through powerful fundamental research, tutorial papers, and a comprehensive textbook

James B. Rawlings is currently Professor of Chemical and Biological Engineering at the University of Wisconsin.  He received the B.S. from the University of Texas in 1979 and the Ph.D. from the University of Wisconsin in 1985, both in Chemical Engineering.  He spent one year at the University of Stuttgart as a NATO postdoctoral fellow and then joined the faculty at the University of Texas.  He moved to the University of Wisconsin in 1995 and is currently the Paul A. Elfers Professor of Chemical and Biological Engineering and the co-director of the Texas-Wisconsin-California Control Consortium (TWCCC).

Professor Rawlings's research interests are in the areas of chemical process modeling, monitoring and control, nonlinear model predictive control, moving horizon state estimation, and molecular-scale chemical reaction engineering, Professor Rawlings has written numerous research articles and coauthored two textbooks: "Model Predictive Control: Theory and Design" (2009), with David Mayne, and "Chemical Reactor Analysis and Design Fundamentals" (2004), with John Ekerdt.  Professor Rawlings has taught numerous short courses on advanced state estimation and model predictive control at companies and universities.

In recognition of his research and teaching, Professor Rawlings has received "Doctor technices honoris causa" from the Danish Technical University; the inaugural High Impact Paper Award from the International Federation of Automatic Control; the Excellence in Process Development Award and the Computing in Chemical Engineering Award from the American Institute of Chemical Engineers; the Harvey Spangler Award for Technology Enhanced Instruction and the Byron Bird Award for Excellence in a Research Publication, from the University of Wisconsin; and a Presidential Young Investigator Award from the National Science Foundation.  Professor Rawlings was the Bayer Lecturer at Carnegie Mellon University (2010) and the Van Ness Lecturer at Rensselaer Polytechnic Institute (199) and is a Fellow of AIChE.

Control Engineering Practice Award:

Recipient: Steven E. Shladover

Citation: For original contributions to control practice in Intelligent Highway and Vehicle Systems

Steven E. Shladover, Sc.D.  Dr. Steven Shladover is a Research Engineer at the California PATH Program of the Institute of Transportation Studies of the University of California at Berkeley, where he leads the PATH research activities related to vehicle automation systems. He joined the PATH Program in 1989, after eleven years at Systems Control, Inc. and Systems Control Technology, Inc., where he was leading the company’s efforts in transportation systems engineering and computer-aided control engineering software products. Dr. Shladover received all of his degrees in mechanical engineering, with a specialization in dynamic systems and control, from M.I.T., where he began conducting research on vehicle automation in 1973. He also satisfied the course requirements for a doctorate in transportation systems at M.I.T., acquiring a thorough understanding of transportation system planning, modeling and evaluation. He has been active in ASME (former Chairman of the Dynamic Systems and Control Division), SAE (ITS Division) and the Transportation Research Board (Chairman of the standing committee on Intelligent Transportation Systems from 2004-2010, and member of the Committee on Vehicle- Highway Automation from its founding until 2010), and was the chairman of the Advanced Vehicle Control and Safety Systems Committee of the Intelligent Transportation Society of America from its founding in 1991 until 1997. Dr. Shladover leads the U.S. delegation to ISO/TC204/WG14, which is developing international standards for “vehicle-roadway warning and control systems”. He was the recipient of the Charles Stark Draper Innovative Practice Award from the ASME Dynamic Systems and Control Division in 2008.

Dr. Shladover has been working on vehicle-vehicle and vehicle-infrastructure cooperative intelligent transportation systems for most of his career, combining simulation, development and testing of the technological elements with broader evaluation of their applications to solving transportation problems. He led PATH’s work in the National Automated Highway Systems Consortium (NAHSC), which applied vehicle-vehicle and vehicle-infrastructure cooperative systems to support automated vehicle driving, including a high-visibility public demonstration. In recent years, Dr. Shladover has been developing intersection collision warning systems, cooperative adaptive cruise control systems and automated truck platooning systems. He has served on several special study committees developing recommendations for the National Research Council on intelligent transportation systems and unmanned ground vehicles. He has also been very active internationally, including a three-month Visiting Professor appointment at the Center for Collaborative Research at the University of Tokyo.

Donald P. Eckman Award:

Recipient: Hana El-Samad

Citation: For novel application of control theory in the analysis and synthesis of complex biological systems

Hana El-Samad is a faculty member in the department of Biochemistry and Biophysics at the University of California, San Francisco and the California Institute for Quantitative Biosciences (QB3), where she holds the Grace Boyer Junior Endowed Chair in Biophysics and is a 2010 Packard Fellow. Dr. El-Samad joined UCSF after obtaining a doctorate degree in Mechanical Engineering from the University of California, Santa Barbara, preceded by a Masters Degree in Electrical Engineering from the Iowa State University. Dr. El-Samad's research group emphasizes the role of control theory and dynamical systems in the study of biological networks. Her research interests include the investigation of stress responses and biological stochastic phenomena, in addition to the establishment of computational and technological infrastructures that allow for their quantitative probing in single cells.

O. Hugo Schuck Best Paper Awards:

Theory-Oriented Paper

Paper #WeB05.1: F. Dorfler, F. Bullo, UC Santa Barbara, “Synchronization and Transient Stability in Power Networks and Non-Uniform Kuramoto Oscillators”

 Florian Dörfler received his Diplom degree in Engineering Cybernetics from the University of Stuttgart, Germany, in 2008. In 2007/2008 he was a visiting student at the University of Toronto, in 2008 a corporal research intern at EADS Astrium, and in 2009 a visiting researcher at the University of California, Santa Barbara. Since September 2009 he is a Ph.D. candidate in the Department of Mechanical Engineering at the University of California, Santa Barbara. His main research interests include distributed systems, synchronization, and coordinated control with applications to smart grids and robotic networks.  He is recipient of the 2010 ACC Student Best Paper Award.

Francesco Bullo is a Professor with the Mechanical Engineering Department and the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara.  He was previously associated with the University of Padova, the California Institute of Technology and the University of Illinois at Urbana-Champaign. His current research focus is on multi-agent systems, with application to robotic coordination, distributed computing and power networks. Recent interests include sequential decision aggregation, dynamic vehicle routing, gossip protocols, and distributed abstract optimization.  He has worked on geometric control, mechanical control systems, and motion planning.  He has published more than 200 articles in international journals and refereed conferences and is the coauthor of "Geometric Control of Mechanical Systems" (Springer, 2004) and "Distributed Control of Robotic Networks" (Princeton, 2009).

Application-Oriented Paper

Paper #ThC20.4: F. Bu,  H.S. Tan, J. Huang, UC Berkeley, “Design and Field Testing of A Cooperative Adaptive Cruise Control System”

Fanping Bu received B.E. and M.E. in Mechanical Engineering from Tsinghua University in 1989 and 1994 respectively. After he received his Ph.D. degree in Mechanical Engineering from Purdue University in 2001, he joined California PATH program at UC Berkeley where he is currently an Associate Research Engineer. His research interests include nonlinear control, model predictive control, estimation theory, and their applications in traffic control, vehicle control, vehicle positioning, sensor fusion and robotics.

Han-Shue Tan received his M.S. and Ph.D. in Mechanical Engineering from the University of California at Berkeley, in 1984 and 1988, respectively. After receiving his degree, he had worked at the Space and Communication Group, Hughes Aircraft Company, and Hughes Missile Systems Company from 1988 to 1994. He joined the California PATH Program at U.C. Berkeley in 1994 and he has technically led a wide range of projects relating to heavy vehicles (buses, trucks and snowplows), driver dynamics (driver models, human machine interface and skill characterization), and a variety of vehicle applications (positioning, communications, safety and controls). He has successfully designed, implemented and field tested automated and guidance systems for buses, trucks, snowplows and snow blower, as well as demonstrated a variety of vehicle applications such as positioning systems based on GPS/INS, cooperative collision warning systems using communications, curve over speed warning systems with digital map, and bus precision docking system with magnetic guidance. In addition, Dr. Tan served as CTO for ContainerTrac Inc. between 2005 and 2007 for designing and deploying a seaport inventory tracking system using embedded GPS/INS systems, wireless communications, GUI, database, and digital map. He was awarded 2001 IEEE CST Outstanding Paper Award, and has 99 conference, journal and patent publications. His main research interest is in applying control engineering and synthesis to understand and solve real-world dynamics and control problems.

Jihua Huang received her Ph.D. in Mechanical Engineering from University of California at Berkeley in 2004. She worked as a senior researcher at General Motors R&D at Warren from 2004 to 2008; she was the Global Thrust Area Lead in the Driver Control & Workload Thrust Area at GM before she joined the California PATH Program at U.C. Berkeley in 2008. Dr. Huang has conducted researches in three main areas: (1) automated and advanced vehicle systems, including automated vehicle control, automated and guidance systems for buses, DGPS/INS-based vehicle positioning, and cooperative vehicle safety systems using communications, (2) driver-in-the-loop vehicle control, including driver modeling, manual- automatic transitions, driving skill and style characterization, and relevant vehicle control adaptation, and (3) automated system safety, including fault detection and management as well as system redundancy design for automated vehicle control systems. Her researches also include data mining and analysis for deployment strategies of weight-in-motion facilities. She holds 4 patents and over 50 conference, journal, and patent publications.