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System Control Theory Lab
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The lab uses mathematics to build mechanisms that make things move well.
AboutAbout the lab
A mathematical methodology for making things move well.
The System Control Theory Lab studies how to use mathematics to build mechanisms that make things move as intended.
To solve various problems in controlling and managing a wide range of targets, from man-made objects to natural phenomena, the lab studies the foundations of control theory.
It focuses in particular on nonlinear control theory and on the control of hybrid systems that include logical information processing.
Applications are wide-ranging: four-wheeled robots, manipulators, automobile engines, drones, power systems, and gene networks.
Key terms
- Nonlinear
- A property that cannot be expressed by simple proportionality, such as when doubling the input does not double the output.
- Hybrid system
- A system that mixes continuously changing behavior with switching, such as on and off.
- Feedback control
- A method of measuring the result of an action and deciding the next action based on its deviation from the target.
NewsLab news
Professor Kobayashi won the "Paper Award" (IEICE)
A paper by Associate Professor Yonezawa and colleagues was published in IEEE Transactions on Cybernetics
A paper by Professor Kobayashi and colleagues was published in SICE Journal of Control, Measurement, and System Integration
A paper by Associate Professor Yonezawa and colleagues was published in Mechanical Systems and Signal Processing
A paper by Associate Professor Yonezawa and colleagues was published in International Journal of Control, Automation and Systems
ResearchResearch themes
The lab studies mathematical methodologies that provide general-purpose mechanisms (the "how") for making dynamical systems (the "things") move well. It aims to answer the question of how to design feedback control systems with a new control theory that is not bound by conventional wisdom.
*Illustrative imageFour-Wheeled Robots That Avoid Obstacles on Their Own
The lab studies the control of four-wheeled vehicle robots that autonomously avoid obstacles. A virtual potential field is created in space from the positional relationship between the obstacles and the goal, and a single rule determined from that field lets the robot reach the goal while maneuvering back and forth.
*Illustrative imageMulti-Agent Surveillance on Graphs
The lab studies surveillance problems of finding trajectories along which multiple robots cover a monitored area evenly. These problems can be applied to town patrols and disaster rescue. The lab addresses methods that reduce the problem to a mixed-integer programming problem, as well as cases where the robots' batteries are constrained.
MembersFaculty
The members of the System Control Theory Lab are faculty and students in the doctoral, master's, and bachelor's programs.As of 2026
- Project ProfessorYuh Yamashita
- ProfessorKoichi Kobayashi
- Associate ProfessorAnsei Yonezawa
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Attracteur étrange de Lorenz” Rogilbert / Public domain (cropped)
- Four-Wheeled Robots That Avoid Obstacles on Their Own: “ActivMedia Pioneer 3-AT robot” Jiuguang Wang / CC BY-SA 3.0 (cropped)
- Multi-Agent Surveillance on Graphs: “Aerial photograph of Kraków” Robin from Kraków, Poland / CC BY 2.0 (cropped)
- Related lab (ヒューマンコンピュータインタラクション研究室): “Backlit keyboard” Colin / CC BY-SA 4.0 (cropped)
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