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Applied Digital Engineering Lab
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The lab uses control and optimization theory to mathematically guarantee the safety of AI-powered systems.
AboutAbout the lab
Mathematically guaranteeing the reliability of AI.
The Applied Digital Engineering Lab conducts broad research on the analysis and design of dynamical systems, using methods of mathematical engineering centered on control theory and optimization theory.
Recently, the lab has been focusing in particular on building the foundational technologies needed to guarantee the reliability and stability of machine learning and deep learning algorithms and neural networks.
The lab actively carries out joint research with research institutions and companies in Japan and with research institutions overseas, aiming to develop researchers and engineers who can succeed internationally.
Key terms
- Dynamical system
- A system whose state changes over time, such as machines, electric circuits, and learning processes.
- Stability
- The property that a system, even when slightly disturbed, does not run out of control and returns to a calm, steady state.
- Feedback system
- A mechanism that measures the output, feeds it back to the input, and keeps adjusting so that the system gets closer to its target.
ResearchResearch themes
The lab studies the analysis and design of dynamical systems, using methods of mathematical engineering based mainly on control theory and optimization theory. Recently, it has been working on guaranteeing the reliability of AI-powered systems.
*Illustrative imageReliability of AI-powered systems
Based on control theory and optimization theory, the lab studies foundational technologies for guaranteeing the reliability and stability of machine learning and deep learning algorithms and neural networks.
*Illustrative imageStability of control systems containing neural networks
Specially Appointed Professor Ebihara studies methods for analyzing the stability of feedback systems containing ReLU neural networks using hierarchies of linear matrix inequalities, as well as methods for examining the absolute stability of nonlinear feedback systems.
MembersFaculty
The lab's faculty member is Specially Appointed Professor Yoshio Ebihara.
- Program-Specific ProfessorYoshio Ebihara
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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: “GSK980TA control system” TurnOnTheNight / CC BY-SA 4.0 (cropped)
- Reliability of AI-powered systems: “Visualizing Artificial Neural Networks (ANNs) with python library-ANN Visualizer” Serenechan3 / CC BY-SA 4.0 (cropped)
- Stability of control systems containing neural networks: “Feedback StateEstimation” Thomas.haslwanter / CC BY-SA 3.0 (cropped)
- Related lab (Electrical Information Systems Lab): “Chubu Electric Power Grid Chushin Substation” photo: Qurren (talk) Taken with Canon PowerShot G9 X / CC BY-SA 4.0 (cropped)
- Related lab (Space Radio Engineering Lab / (Research Institute for Sustainable Humanosphere) Space Electromagnetic Environment Exploration Lab): “Arase ISAS” 宇宙科学研究所(ISAS) / CC BY 4.0 (cropped)
- Related lab (Intelligent Communication Networks Lab): “NOC-Architel” Mike Reyher / CC BY 2.0 (cropped)
- Related lab (Automatic Control Engineering Lab): “STS-125 Atlantis Liftoff 02” Scott Andrews, Canon / Public domain (cropped)
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