The IEEE has named Lennart Ljung as the recipient of its 2007 Control Systems Award, recognizing his seminal contributions to system identification and its impact on industrial practice. His development of the system identification toolbox is a set of high-tech mathematical tools that are used in industrial applications – such as automobiles, airplanes and medical systems for diabetes. The IEEE is the world’s leading professional association for the advancement of technology.
Sponsored by the IEEE Control Systems Society, the award recognizes outstanding contributions to control systems engineering, science or technology. It will be presented to Ljung at the 2007 IEEE Conference on Decision and Control (CDC) in New Orleans on 12 December.
Ljung is a professor in the automatic control division of the department of electrical engineering at Linköping University in Linköping, Sweden. Widely regarded as one of the leading systems and control researchers worldwide, he has spent nearly 35 years pioneering research into several aspects of systems identification, from theoretical studies to code development.
He is also the author of several books. “System Identification – Theory for the User,” has become a standard reference source in the field of system identification. The “System Identification Toolbox” for use with Matlab, is a high-level language and interactive environment for efficient model estimation. With more than 100,000 licenses sold worldwide, the toolbox was heralded as both a great scientific and commercial success. Many of the key principles used in its algorithms have been applied to solving a broad variety of engineering problems in industry.
In his groundbreaking paper, “Analysis of Recursive Stochastic Algorithms,” reprinted in 2001 in the IEEE book “Seminal Papers in Control.” Ljung offered a method of proving the convergence of stochastic algorithms that provided a highly effective method for their future analysis. In addition, his work in the area of systems identification resulted in the development of a methodology based on ‘prediction error minimization.’ This central notion gave rise to numerous instances worldwide in which algorithms were set up and analyzed and the method philosophy was scrutinized. This allowed new viewpoints to emerge for industrial and other applications.
He has a bachelor’s, master’s and doctorate from Lund University and the Lund Institute of Technology in Sweden. He also has received honorary doctorates from Baltic State Technical University in St. Petersburg, Russia, from Uppsala University, Sweden, from UTT, Troyes, France and from Catholic University of Leuven, Belgium. An IEEE Fellow and Fellow and Advisor of the International Federation of Automatic Control (IFAC), Ljung is also a member of the Royal Swedish Academies of Science and Engineering, and a foreign associate of the U.S. National Academy of Engineering. Previously, he received the Giorgio Quazza Medal from IFAC and the Hendryk W. Bode Lecture Prize.
About the IEEE
The IEEE (Institute of Electrical and Electronics Engineers, Inc.) is the world’s largest technical professional society. Through its more than 370,000 members in 160 countries, the organization is a leading authority on a wide variety of areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics. Dedicated to the advancement of technology, the IEEE publishes 30 percent of the world’s literature in the electrical and electronics engineering and computer science fields, and has developed nearly 900 active industry standards. The organization also sponsors or co-sponsors over 450 international technical conferences each year.