Researcher Database

（Last updated : 2025-12-06 15:40:03）　

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TAKABA Kiyotsugu

Department / Course College of Science and Engineering Department of Electrical and Electronic Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Science and Engineering

Academic background
1.	1996/05 Degree Acquisition	│ Kyoto University Doctor of Engineering
2.	～1989/03	Department of Applied Mathematics and Physics │ Faculty of Engineering │ Kyoto University │ Graduated
3.	～1991/03	Master Course │ Division of Applied Systems Science │ Graduate School of Engineering │ Kyoto University │ Completed

Business career
1.	2012/04/01	Professor │ Department of Electrical and Electronic Engineering │ Ritsumeikan University
2.	2008/04 ～ 2012/03	Associate Professor │ Department of Applied Mathematics and Physics │ Kyoto University
3.	1998/04 ～ 2008/03	Associate Professor │ Department of Applied Mathematics and Physics │ Kyoto University
4.	1991/04 ～ 1998/03	Research Associate │ Department of Applied Mathematics and Physics │ Kyoto University

Committee and society
1.	2017/01 ～ 2019/12	IEEE Transactions on Automatic Control, Editorial Board member (Associate Editor)
2.	2017/03 ～ 2020/02	SICE Journal of Control, Measurement, and System Integration, Editorial Board member (Editor)
3.	2017/09 ～ 2018/09	SICE Annual Conference 2018 Organizing Committee Exhibition and Industrial Relations co-chair
4.	2013/01 ～ 2017/02	SICE Journal of Control, Measurement, and System Integration, Editorial Board member (Associate Editor)
5.	2015/06 ～ 2016/06	IFAC 6th Symposium on System Structure and Control (SSSC2016), International Program Committee member
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Research activities
1.		Institute of Systems, Control and Information Engineers (ISCIE)
2.		Society of Instrument and Control Engineers (SICE)
3.		The Institute of Electrical Engineers of Japan
4.		Japanese Society of Industrial and Applied Mathematics (JSIAM)
5.		IEEE Control Systems Society
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Subject of research
1.	Robust and optimal control
2.	Distributed cooperative control and estimation of networked multi-agent systems
3.	Behavioral approach to system and control theory

Research summary
Systems and Control Theory and its Applications In the contemporary society, as element technology evolves, the systems targeted by a lot of engineering issues have become increasingly large and complicated, and requirement for realized performance and features has also become stricter. In order to control and operate these large and complicated systems safely and efficiently, it is essential to build mathematical techniques of system modeling and control design, based on mathematical models. Under these backgrounds, our laboratory conducts a wide range of studies and education concerning the system control theory and its application. Main subjects of researches are as follows: (1) Distributed Cooperative Control and Estimation of Multi-agent Systems Large-scale systems are composed of a number of agents connected via networks. The examples include smart grids, sensor networks, vehicle formations, etc. The distributed cooperative control and estimation of multi-agent systems aim to achieve cooperative tasks, such as synchronization, consensus, and load balancing, by controlling the individual agents in an autonomous and distributed manner. We are conducting the research on cooperative control and estimation methodologies for networked multi-agent systems from the perspective of robust and optimal control. (2) Control Systems with Input/Output Constraints For actual control design, there exist constraints on the amplitude or change rate of input and output signals of the system due to physical properties of hardware, security of safety and other reasons. At this time, the system's operating area should be expanded to the upper limitation in order to achieve good control performance. In order to make control performance reach its full potential as well as staying within the limitations, this research studies: designing the control design method openly taking limitations into consideration; and applying the method to the actual system. (3) Behavioral Approach to System and Control Theory We study an approach of the system theory from a new perspective that characterizes the system with collection of signal orbit not traditional I/O mapping. This behavior approach can identify the essential structure of control systems, and is expected to evolve from the new perspective for robust control, distributed control and other practical control techniques.

Present specialized field
Control Engineering, System Engineering, Dynamics/Control, Fundamental Engineering (Keyword：control engineering, robust control, optimal control, system theory, networked control system, multi-agent system)

Papers
1.	2025/10/09	Data-driven synchronization of linear multi-agent system based on informativity │ IFAC PapersOnline │ 59 (12),pp.103-108
2.	2025/11/05	Data-Driven Servomechanism Design from Noisy Data │ Proceedings of the 57th ISCIE International Symposium on Stochastic Systems Theory and its Applications │ ,pp.1-7
3.	2025/09/09	Stabilization of Linear Input-Delay Systems Based on Data Informativity │ Proceedings of 2025 SICE Festival with Annual Conference (SICE FES 2025) │ ,pp.545-550
4.	2025/07/02	Workplace energy management with EVs by a novel distributed mixed-integer linear programming algorithm │ SICE Journal of Control, Measurement, and System Integration │ 18 (1)
5.	2024/12	Cloud-mediated self-triggered synchronization of a general linear multi-agent system over a directed graph │ IET Cyber-Physical Systems: Theory & Applications │ 9 (4),pp.497-508
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Academic conference presentation
1.	2025/12/03	Data-driven output consensus of heterogeneous linear multi-agent systems
2.	2025/03/03	Synchronization of Multi-agent System based on Data Informativity
3.	2025/03/03	Data-driven synthesis of stabilizing controller for input-delay systems: A data informativity approach
4.	2024/11/29	Data-driven control design for multi-agent synchronization
5.	2015/12/17	A dynamic protocol for local synchronization of linear multi-agent systems subject to input saturation
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Winning science prize
1.	2012/08	SICE Best Paper Award

Subject
1.	理工学特殊研究4