Masayuki Fujita, Hiroyuki Kawai, Mark Spong - 2008 recipient of IEEE Transactions on Control Systems Technology Outstanding Paper Award

Masayuki Fujita

University of Tokyo

Japan

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Masayuki Fujita

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Biography

Masayuki Fujita is a Professor at The University of Tokyo and a Visiting Professor at Tokyo Institute of Technology. He is also the Vice President of SICE in 2020. He was the Research Supervisor for Japan Science and Technology Agency (JST) Core Research for Evolutional Science and Technology (CREST) during 2012-2019. He received the Dr. of Eng. degree in Electrical Engineering from Waseda University, Tokyo, in 1987. Prior to his appointment at The University of Tokyo, he held professor/faculty appointments at Tokyo Institute of Technology, Kanazawa University and Japan Advanced Institute of Science and Technology. His research interests include passivity-based control in robotics and robust control. He is the coauthor of the book "Passivity-Based Control and Estimation in Networked Robotics" (Springer, 2015). He was the CSS Vice President Conference Activities and a member of CSS Board of Governors. He served as the General Chair of the 2010 IEEE Multi-conference on Systems and Control. He was also the Director of SICE, the Head of SICE Technical Division on Control, the Chair of SICE Technical Committee on Control Theory. He served as an Associate Editor for the IEEE Transactions on Automatic Control, the IEEE Transactions on Control Systems Technology, Automatica, Asian Journal of Control, and an Editor for the SICE Journal of Control, Measurement, and System Integration. He is a recipient of the 2008 IEEE Transactions on Control Systems Technology Outstanding Paper Award, was a Plenary Lecturer of 54th IEEE Conference on Decision and Control in 2015, and was an IEEE Control System Society Distinguished Lecturer during 2017-2019. He also received the 2010 SICE Education Award and the Outstanding Paper Awards from the SICE and ISCIE. He is a Fellow of IEEE and SICE.

Affiliation(s)

University of Tokyo

Japan

Hiroyuki Kawai

Mark Spong

University of Texas, Dallas

United States

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Mark Spong

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Biography

Mark W. Spong received the Doctor of Science degree in systems science and mathematics in 1981 from Washington University in St. Louis. He has held faculty positions at Lehigh University, Cornell University, and at the University of Illinois at Urbana-Champaign. Currently, he is a professor of Systems Engineering, professor of Electrical and Computer Engineering and holder of the Excellence in Education Chair in the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. He was Dean of the Jonsson School at UT Dallas from 2008-2017. During his tenure as dean he added four departments of engineering, nine new degree programs, and more than doubled the number of students and faculty. Spong is past president of the IEEE Control Systems Society, and a fellow of both the IEEE and the IFAC. His main research interests are in robotics, mechatronics, and nonlinear control theory. He has authored or coauthored more than 300 technical articles, five books, and holds one patent. His notable awards include the 2018 Bode Lecture Prize from the IEEE Control Systems Society, the 2016 Nyquist Lecture Prize from the ASME, the 2011 Pioneer in Robotics Award from the IEEE Robotics and Automation Society, the first IROS Fumio Harashima Award for Innovative Technologies in 2007, the Senior Scientist Research Award from the Alexander von Humboldt Foundation, the Distinguished Member Award from the IEEE Control Systems Society, the John R. Ragazzini and O. Hugo Schuck Awards from the American Automatic Control Council, and the IEEE Third Millennium Medal.

Affiliation(s)

University of Texas, Dallas

United States

Masayuki Fujita, Hiroyuki Kawai, Mark Spong - 2008 recipient of IEEE Transactions on Control Systems Technology Outstanding Paper Award

Masayuki Fujita

Hiroyuki Kawai

Mark Spong

"Passivity-based Dynamic Visual Feedback Control for Three Dimensional Target Tracking: Stability and L2-gain Performance Analysis"