Control engineering is an academic discipline for the analysis and design of system behavior based on mathematical models. It applies to many mechanical and electrical systems such as airplanes, computers, hard disks, trains, elevators, and so on. Notice that the mathematical model is not exact. That is, there is different behavior between the system and its mathematical model. To deal with its uncertainty, information on the worst-case performance is helpful. However, it is well known that we cannot evaluate it within a reasonable computational time. We, therefore, try to find an approximate solution with a theoretical guarantee. Its approximation leads to algorithms that stop within a reasonable computational time. The key idea is to employ random samples in the algorithms. Also, we provide a quantitative evaluation of the degree of loss of accuracy.
- 2009 Ph. D. (Engineering) Kobe University
- 2009 Research Fellow, Japan Society for the Promotion of Science
- 2010 Postdoctoral Research Fellow, Graduate School of System
- Informatics, Kobe University
- 2010 Assistant Professor, Department of Electronic and Information
- Engineering, Suzuka National College of Technology
- 2012 Assistant Professor, Graduate School of Information Science and Technology, Osaka University
- 2017 Associate Professor, Graduate School of Information Science and Technology, Osaka University
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