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Systems and Control Lab
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The lab centers on robust control to make a wide variety of systems behave exactly as intended.
AboutAbout the lab
Building new control theory and putting it to use
The lab researches control theory for making machines and power systems behave exactly as intended.
Centered on robust control, which can guarantee performance even when the real system deviates from its model, the lab builds new theory that incorporates ideas from machine learning, prediction, and estimation.
Its targets include advanced autonomous driving of cars, remote control over networks, optimal control of drones, and stabilization of power grids that use renewable energy.
In its research on networked control, the lab verifies effectiveness through simulations and experiments.
Key terms
- Robust control
- Control designed to account for the deviation between the real system and the design model, so that it operates stably despite variations within that range
- Feedback
- A mechanism that measures the result, returns it to the input, and gradually reduces the difference from the target
- Power grid
- The entire connected chain of generation, transmission, and distribution that delivers electricity from power plants to homes and factories
NewsLab news
View More ↗ResearchResearch themes
Aiming to lead the field of systems and control, the lab builds new control theory centered on cutting-edge robust control and incorporating theories of machine learning, prediction, and estimation. It also pursues applied research on concrete targets such as autonomous driving, remote control, drones, and power grids.
*Illustrative imageRobust control
Real systems cannot be modeled exactly. So the lab fixes a single model for design, estimates the range of deviation between that model and the real system, and designs the control system around a "plant set" that contains all of that variation. It studies the conditions and design methods that guarantee stability and control performance across the whole set.
*Illustrative imageNetworked control systems
This is research on control systems that apply feedback over a communication channel. When robots, people, and information are connected across distances, challenges such as telemedicine, remote monitoring, and autonomous driving become solvable. The central issue is how to compensate for data delay and loss.
MembersFaculty
- ProfessorKang-Zhi Liu
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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: “HQ-90 aircraft arrived and assembled at NASA’s Armstrong Flight Research Center (AFRC )” NASA Armstrong Flight Research Center / NASA/Ken Ulbrich / Public domain (cropped)
- Robust control: “Feedback control system” Controlsystemintro / CC BY-SA 4.0 (cropped)
- Networked control systems: “Remote control robot attempts to open vehicle with mock bomb (7136606)” U.S. Army photo by Sandra Wilson / Public domain (cropped)
- Related lab (電力変換教育研究分野): “Nelson Bipole Thyristors” Wtshymanski at English Wikipedia / Public domain (cropped)
- Related lab (吉田研究室): “SynchrotronLight” Canadian Light Source Inc. / CC BY-SA 2.0 (cropped)
- Related lab (システム数理教育研究分野): “AMD3101E” Mister rf / CC BY-SA 4.0 (cropped)
- Related lab ((共生2)バイオマテリアル研究室): “5D46 crystal structure of TdT with a DNA substrate” Fravadona / CC0 (cropped)
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