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Automatic Control Engineering Lab
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Without control, hardware is just a box, so the lab pursues the best possible control theory.
AboutAbout the lab
Without control, it's just a box.
The Automatic Control Engineering Lab (the Hagiwara Lab) studies the theory of system control and its applications.
Control is the technology of keeping the motion of things in a desired state and making them follow changes in a target, and it is essential for making products and equipment work properly.
How far the power of hardware can be exploited depends on the control strategy, and the role of system control theory is to present general theory that makes possible the best control approaching those limits.
Key terms
- Feedback
- A mechanism that measures the result, feeds it back to the input, and keeps adjusting so as to reduce the deviation from the target.
- Digital control
- Control in which a computer measures the system at fixed time intervals and decides the control action.
- System identification
- Building a mathematical model that describes the behavior of a target system, based on data measured from it.
ResearchResearch themes
To meet increasingly complex and demanding requirements, the lab conducts cutting-edge research on a variety of control methods and applies them to real systems.
*Illustrative imageControl at work everywhere in society
Control is the technology that builds the brains of large-scale plants and spreads their nerves throughout them. It plays an important role everywhere, from orbit and attitude control of rockets and satellites and automobile suspensions to combustion control of waste incinerators.
*Illustrative imageCutting-edge research on feedback control theory
The lab conducts cutting-edge research on feedback control theory, which treats a wide range of engineering problems in a unified way, including optimal control, H∞ control, digital control, nonlinear control, adaptive control, learning control, and model predictive control.
*Illustrative imageTheory of digital control and optimal control
The lab studies theories such as operator theory for digital control systems, design of multi-objective control systems based on numerical optimization, two-degree-of-freedom optimal control systems, system identification, nonlinear control systems, and control of time-varying systems.
*Illustrative imageApplying theory to real systems
The lab applies theory to real systems, for example positioning, adaptive control, and system identification on experimental setups such as pneumatic servos, and model reduction and distributed control of power systems, and also implements the results as computer programs.
MembersFaculty
The lab's faculty members are Professor Tomomichi Hagiwara and Associate Professor Yohei Hosoe.
- ProfessorTomomichi Hagiwara
- Associate ProfessorYohei Hosoe
VoicesStudent voices
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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: “STS-125 Atlantis Liftoff 02” Scott Andrews, Canon / Public domain (cropped)
- Control at work everywhere in society: “Basic Construction of Single Wishbone Suspension System” Atharv Chandel / CC BY-SA 4.0 (cropped)
- Cutting-edge research on feedback control theory: “Step Plot in Julia” StephanSp3 / CC BY-SA 4.0 (cropped)
- Theory of digital control and optimal control: “Digital Signal Processor 9997” Ashley Pomeroy / CC BY 3.0 (cropped)
- Applying theory to real systems: “Production Pneumatic Actuator with PWM Solenoid Valve” PWMhistorical / CC BY-SA 4.0 (cropped)
- Related lab (Applied Digital Engineering Lab): “GSK980TA control system” TurnOnTheNight / CC BY-SA 4.0 (cropped)
- Related lab (Biocybernetics Lab (formerly Biomedical Engineering)): “Flavia Saraiva 2016 Olympics Test Event event finals 1” Miriam Jeske / CC BY 3.0 br (cropped)
- Related lab (Intelligent Communication Networks Lab): “NOC-Architel” Mike Reyher / CC BY 2.0 (cropped)
- Related lab (Low-Power Integrated Circuit Design Lab): “Mpw4-top-HD” Zeptobars; Mikhail Svarichevsky / CC BY 3.0 (cropped)
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