Profile
Kazuhiro SATO

Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
Lecturer
Room 434, 7-3-1 6 Hongo, Bunkyo-ku, Tokyo 113-8656
Tel: +81-03-5841-6934
E-mail:kazuhiro@mist.i.u-tokyo.ac.jp
Biography
March 2009 | Bachelor of Engineering from Undergraduate School of Informatics and Mathematical Science, Kyoto University |
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March 2011 | Master of Informatics from Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University |
March 2013 | Ph. D. in Informatics from Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University | April 2014 | Project Researcher, Graduate School of Informatics, Kyoto University |
April 2017 | Specially Appointed Assistant Professor, Kitami Institute of Technology |
April 2018 | Assistant Professor, Kitami Institute of Technology |
October 2019 | Lecturer, Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo |
Research Topics
I am especially interested in solving control systems problems using methods of different fields such as optimization and machine learning. The following three topics are main research subjects.
- Applications of optimization theory to control systems theory: We study what control systems problems can be solved using Riemannian optimization, proximal algorithm, submodular optimization, and so on.
- Applications of control systems theory to optimization theory: We study what optimization problems can be efficiently solved using control systems theories such as hybrid systems, passivity, and so on.
- Data-driven modeling for controlling systems: We study efficient modeling methods for controlling systems from time series data using optimization, machine learning, numerical analysis, and so on.
Selected Publications
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- K. Sato:Riemannian optimal model reduction of linear port-Hamiltonian systems,
Automatica, Vol. 98, pp. 428–434, 2018. - K. Sato and H. Sato: Structure preserving H^2 optimal model reduction based on Riemannian trust-region method, IEEE Transactions on Automatic Control, Vol. 63, No. 2, pp. 505-511, 2018.
- K. Sato: Riemannian optimal control and model matching of linear port-Hamiltonian systems,
IEEE Transactions on Automatic Control, Vol. 62, No. 12, pp. 6575-6581, 2017.
- K. Sato:Riemannian optimal model reduction of linear port-Hamiltonian systems,