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2011 - Eduardo D. Sontag
Eduardo D. Sontag’s contributions to nonlinear feedback for control and signaling systems opened the floodgates to creativity in nonlinear designs, benefiting a wide range of engineering disciplines. Dr. Sontag’s control Lyapunov function (CLF), input-to-state stability (ISS), and related concepts help in the design of stable nonlinear feedback systems. Dr. Sontag presented the CLF concept in 1989 and it quickly pervaded the control literature. CLF provides control practitioners with the ability to make appropriate feedback control choices. Also in 1989, Dr. Sontag’s ISS concept helped tackle the difficulties presented by uncertainty in nonlinear systems. With ISS, he showed how to capture the effect of persistent disturbances in nonlinear systems, which has enabled engineers to solve many robust stabilization problems. An IEEE Fellow, Dr. Sontag is a professor with the Department of Mathematics at Rutgers University, Piscataway, N.J., where he is also in the graduate faculty of the Computer Science and the Electrical and Computer Engineering Departments.
2010 - Graham Clifford Goodwin
Graham C. Goodwin has made a lastingimpact on both the theory and real-world industrial applications of control systems science. Dr. Goodwin and his colleagues were one of the first to produce a rigorous proof of convergence of discrete-time deterministic and stochastic adaptive control algorithms. The paper detailing this breakthrough was named one of the 25 most influential papers of the 20thcentury on control. In the area of digital control, Dr. Goodwin was the first to recognize that the “Z-Transform” was inappropriate for high-speed sampling, and developed what was named the “delta operator.” He demonstrated that there were significant numerical advantages to working with increments rather than absolute measurements. This line of research has many ramifications in practical aspects of signal processing and control.
An IEEE Fellow, Dr. Goodwin is currently a Laureate Professor and Director of the Australian Research Council Centre of Excellence for Complex Dynamic Systems and Control at the University of Newcastle, Australia.
2009 - David Q. Mayne
David Quinn Mayne’s wide collection of research contributions has had tremendous impact on the development of control theory. Among these, the most important is his work in optimizing model predictive control (MPC), in which he provided a rigorous mathematical basis for analyzing MPC algorithms. His framework for studying the stability of MPC loops has become highly influential in MPC, whose impact can be seen in today’s high-speed electromechanical, aerospace and automotive systems.
Dr. Mayne was the first to describe what is now known as “particle filtering,” which is one of the central building blocks in nonlinear filtering. These methods are used in a vast array of applications including vehicle autopilots, aircraft tracking and the prediction of commodity prices. He also introduced the concept of differential dynamic programming as a method for solving optimal control problems and provided early guidelines for adaptive control.
An IEEE Life Fellow, Dr. Mayne is currently an emeritus professor and senior research investigator at Imperial College London.
2008 - Mathukumalli Vidyasagar
Mathukumalli Vidyasagar’s groundbreaking work addressing control system theory, paired with his ability to present complex ideas in a clear, concise manner, have helped establish him as a pioneer in the research community. Dr. Vidyasagar designed the method of stable factorization, a fundamental tool in the problem of robust stabilization. He began his career as a professor, spending two decades in academia before being recruited by India’s Department of Defence to create a new R&D institute. Following his work in the government sector, Dr. Vidyasagar joined Tata Consultancy Services, India’s largest information technology services company, where he has built a leading industrial research and development group. A Fellow of the IEEE, he also holds fellowships with the Indian Academy of Sciences, the Indian National Science Academy and the Third World Academy of Sciences. During his career, Dr. Vidyasagar has received several awards, including the 2000 Bode Lecture Prize from the IEEE and the Distinguished Service Citation from the University of Wisconsin.
2007 - Lennart Ljung
Lennart Ljung, professor of electrical engineering at the Linköping University in Linköping, Sweden, is a recognized leader in the area of systems and control research whose contributions have had lasting impact over nearly 35 years.
His book, “System Identification—Theory for the User,” is considered a standard reference source, and his career-defining “System Identification Toolbox” for Matlab, a high-level interactive software package for model estimation has been heralded as both a great scientific and commercial success, with many of its principles having been applied to engineering problems for industry world-wide. In his groundbreaking1977 paper, “Analysis of Recursive Stochastic Algorithms,” Dr. Ljung defined a method of proving the convergence of stochastic algorithms that provided a highly effective method for their future analysis.
An IEEE Fellow with Bachelor of Arts, Master of Science and doctoral degrees all from Lund University and the Lund Institute of Technology in Lund Sweden, he has received numerous honorary degrees and awards from institutions around the world.
2006 - P. R. Kumar
Dr. P.R. Kumar, Franklin W. Woeltge Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, has made groundbreaking contributions that have helped to shape industrial practice and research in both semiconductor manufacturing and wireless networking.
In his early work, Dr. Kumar developed self-optimizing controllers for systems modeled as Markov chains, which are commonly used as models in engineering and industrial applications. He also analyzed controllers proposed for linear stochastic systems, and established that under certain conditions the estimated parameters would converge and self-tune to an optimal controller.
In the 1980s, he began studying manufacturing systems and advocated a dynamic systems viewpoint to address the problem of scheduling large manufacturing systems. His approach emphasized stability to guarantee that production would stay apace with demand. This led to his development of distributed real-time scheduling policies for complex semiconductor wafer fabricating plants. These policies, designed to reduce mean queuing time and cycle time standard deviation, have since been implemented in industry. His work also led to a wave of interest in the field of queuing networks, focused on studying their stability and performance properties and their control.
In the late 1990s, Dr. Kumar turned to the then emerging field of wireless networking and addressed the fundamental issue of how much traffic such networks could carry and what should be the architecture of their organization. He established a square-root scaling law governing the limit to information transfer in wireless networks, a work that led to a major reassessment of their capabilities. He also developed a network information theory applicable to any wireless network with an arbitrary number of nodes. He further studied the design of protocols for power control, routing and medium access control, and the problem of cross-layer design for wireless networks.
Since 2000, Dr. Kumar has studied the problem of in-network computation in sensor networks, which sheds light on how information should be processed inside sensor networks, and the problem of time-driven computation. He has also addressed the problem of software architecture for a third generation of control systems - networked embedded control systems - that arise from the convergence of control, communication and computation.
He has a bachelor of technology degree in electrical engineering from the Indian Institute of Technology in Madras, and master’s and doctoral degrees in systems science and mathematics from Washington University in St. Louis, Missouri.
An IEEE Fellow, he has received the Donald P. Eckman Award of the American Automatic Control Council.
2005 - Manfred Morari
Dr. Manfred Morari, Professor and Head of the Automatic Control Laboratory at the Swiss Federal Institute of Technology in Zurich, has developed several groundbreaking theoretical techniques for the design of automatic control systems. These techniques and his innovative insights have profoundly affected industrial practice and control research directions over the last 25 years. They have improved the quality control in chemical production facilities and have reduced the energy requirements and emissions in refineries.
Dr. Morari's current research focuses on hybrid systems, where the behavior can switch between different modes.The tools his group developed for controller design and analysis for hybrid systems have dramatically reduced engineering effort and on-line computation requirements. As a result, these automation systems have been implemented on a wide range of applications, including traction control for automobiles, torque control for electrical drives and energy management for cement mills. An IEEE Fellow, Dr.Morari is a member of the U.S. National Academy of Engineering.
2004 - John Doyle
Dr. John Doyle has applied complex ideas of robust design and control to many fields and is working on a unified theory of control in engineering, physics and biology. His innovative work strongly contributes to the human understanding of multi-variable systems, with implications well beyond his field. For nearly three decades, he has served as a consultant to Honeywell's Systems and Research Center in Minneapolis, Minnesota, and since 1986, he has been a professor of electrical engineering, bioengineering and control and dynamical systems at Caltech in Pasadena, California. An IEEE member, Dr. Doyle has received many awards including the IEEE W.R.G. Baker Prize Paper Award, two IEEE Control Systems Society George S. Axelby Outstanding Paper Awards and the IEEE Power Engineering Society Hickernell Prize Award. The holder of two patents, Dr. Doyle has published more than 30 works and co-authored two books
2003 - Nikolai N. Krasovskii
Since the 1950s, Nikolai N. Krasovskii has been a towering presence in the control, differential games and stability fields. His pioneering functional analysis techniques for control problems are now the basic tools for systems research. With his students, he developed an array of methods for solving feedback control problems under conflict and uncertainty, providing solutions for differential games. The Barbashin-Krasovskii theorem broadened the application of Lyapunov functions, and became a precursor for the invariance principle in stability theory. A member of the Russian Academy of Sciences, Dr. Krasovskii has written more than 250 papers and several books. He has received numerous honors including the National Lenin Prize in Science, Lyapunov Gold Medal and Lomonosov Great Gold Medal. He is head research associate at the Institute of Mathematics and Mechanics at the Ural Scientific Center in Russia.
2002 - Pravin Varaiya
Dr. Pravin Varaiya, Nortel Networks Distinguished Professor in the Electrical Engineering and Computer Science Department at the University of California at Berkeley, has greatly influenced the current thinking of stochastic control systems. Applications of his work range from wireless networks to urban economics and power systems. His research in transportation led to the prototype Performance Measurement System, which will be deployed throughout California in July, 2002. A Fellow of the IEEE and a member of the National Academy of Engineering, he has written or co-authored more than 250 technical papers and has written such books as Stochastic Systems: Estimation, Identification, and Adaptive Control.
Dr Varaiya’s honors include a Guggenheim Fellowship and an IEEE Control Systems Best Paper Award. From 1979 to 1989, he co-chaired the Faculty of Human Rights in Central America.
