Control engineering is academic discipline for analysis and design of system behavior, then it has a fundamental role in controlled systems, for example, airplanes, cameras, computers, hard disks, trains, elevators, and so on. When we design control systems on a computer, the real system will behave in a different manner than the one designed, because some real movements can not be rigorously reproduced. In order to solve this issue, information on the worst case deviation is useful. However, it is known that the problem is very difficult to be solved within a practical computational time. We therefore try to find an approximate solution with theoretical guarantee instead of the exact solution. This leads to algorithms which stop in reasonable time. The key idea is to employ random samples in the algorithms. Also, we provide quantitative evaluation about 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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