GRADUATE SCHOOL OF THE UNIVERSITY OF TOKYO, Tokyo, Japan March 1998
Division of Engineering GPA 3.82
Ph. D. of Engineering
Majoring in Mathematical Engineering and Information Physics
GRADUATE SCHOOL OF OSAKA UNIVERSITY, Osaka, Japan March 1995
Division for Research of Engineering Science GPA 3.89
Master of Engineering (Control Engineering)
CHULALONGKORN UNIVERSITY, Bangkok,Thailand May 1992
Bachelor of Engineering (Electrical Engineering First Class Honors) GPA 3.60
The theory in H∞ control, Control theory, Robust control, System identification, Modeling, Adaptive control, Learning control, Neural network and Fuzzy control.
The advent of H∞ control was a truly remarkable innovation in multivariable theory. It eliminated the classical/modern dichotomy by formulating the design issues of classical control property and has solved it based on the state-space tool of modern theory. The theory-practice gap was no longer a significant issue at the beginning of the 1990s due to a number of successful applications of H∞ control to real design problems, especially applications of H∞ control based robust control theory.
No mathematical system can exactly model a physical system. Nowadays it is gradually being recognized that the real issue of control engineering we were faced with was the difficulty of modeling the plant to be controlled. For this reason we must be aware of how modeling errors might adversely affect the performance of a control system. Robust control theory became the most popular area that was expected to deal with model uncertainty.