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Mechanical Systems Control Lab
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The lab designs the behavior of systems by connecting the physical and the informational.
AboutAbout the lab
Systems control theory connecting the physical and the informational.
The Mechanical Systems Control Lab studies systems control theory, a field devoted to designing the behavior of dynamic systems.
The lab develops control theory and extends it to cutting-edge scientific fields and industry.
In particular, from the perspective of connecting the physical and the informational, the lab takes on the challenge of creating dynamic systems that open up new futures.
The lab belongs to the Graduate School of Informatics, Department of Systems Science, and students from the Department of Engineering Physics are also assigned to it.
Key terms
- Multi-agent system
- A system in which many entities (agents) exchange information with their surroundings and together produce a single collective function
- Quantization
- Replacing continuous values with discrete, predetermined values
- Data-driven
- An approach that performs analysis and decision-making directly from measured data, without building a mathematical model
ResearchResearch themes
The lab develops systems control theory, the academic foundation for designing the behavior of dynamic systems, and extends it to cutting-edge scientific fields and industry. Its research is carried out from the perspective of connecting the physical and the informational.
*Illustrative imageMulti-agent systems and swarm intelligence
Systems in which many agents interact locally with their neighbors to produce collective behavior underpin technologies such as smart grids and autonomous driving. Focusing on the flow of information, the lab builds theories of analysis and control and develops them into swarm intelligence.
*Illustrative imageQuantized control
Real physical quantities take continuous values, while information inside computers takes discrete values. For quantized control, which is needed when the two are combined, the lab clarifies the relationship between the amount of information handled and control performance, and builds design theory.
*Illustrative imageAnalyzing and controlling systems directly from data
The lab develops ways to formulate and solve problems in data-driven methods, which obtain results directly from data without going through a model.
MembersFaculty
The members of the Mechanical Systems Control Lab consist of faculty members and doctoral, master's, and undergraduate students.
- ProfessorShunichi Azuma
- LecturerRiku Funada
- Assistant ProfessorIkumi Banno
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: “Swarm of Colias Robot” Farshadarvin / CC BY-SA 4.0 (cropped)
- Multi-agent systems and swarm intelligence: “RechargingSwarm” Serge Kernbach / CC BY-SA 3.0 (cropped)
- Quantized control: “Quanterr” Atropos235 / Public domain (cropped)
- Analyzing and controlling systems directly from data: “Chiller plant SCADA system” Rsparks3 / CC0 (cropped)
- Related lab (Fundamental Plasma and Fusion Science Lab): “The Sun by the Atmospheric Imaging Assembly of NASA's Solar Dynamics Observatory - 20100819” NASA/SDO (AIA) / Public domain (cropped)
- Related lab (Quantum Beam Science Lab): “Ion Beam - GPN” NASA/GRC / Public domain (cropped)
- Related lab (Advanced Materials Functionality Lab): “Dendrite 01” Kuebi = Armin Kübelbeck / CC BY-SA 3.0 (cropped)
- Related lab (Functional Systems Design Lab): “Nondestructive inspection, Finding the cracks 130806-F-JF989-080” Senior Airman Benjamin Stratton / Public domain (cropped)
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