GuoDong Li, Shiro Masuda, Masatake Nagai, Predictor design using an improved grey model in control systems, International Journal of Computer Integrated Manufacturing, Vol.28, No.3, pp.297-306 (2015)
Kazuma Ando, Shiro Masuda and Manabu Kano, Data-Driven Generalized Minimum Variance Regulatory Control, Proc. of European Control Conference,June 24-27, pp.418-423 (2014)
Yasushi Mahara, Shiro Masuda, and Manabu Kano, Simultaneous Update of Model and Controller Using Fictitious Reference Iterative Tuning For Disturbance Attenuation Based on Variance Evaluation, IEEE MSC, Nice, France, Oct. 8-10, pp.1149-1454 (2014)
Masahiro Tanaka, Shiro Masuda, and Manabu Kano, Domain of Attraction for Optimization of Databased H2 Control Performance Criterion, IEEE MSC, Nice, France, Oct. 8-10, pp.1155-1460 (2014)
Shiro Masuda, Kazuma Ando, Optimization of H2 Performance Criterion for Disturbance Attenuation in the Direct Data-based Control Design, 5th International Symposium on Advanced Control of Industrial Processes, 28-30 May, 2014, Mielparque Hiroshima Hiroshima, Japan (2014)
Shiro Masuda, A Model Reference Adaptive Control Based on On-Line FRIT Approaches Using a Normalized Recursive Least Square Method, 5th International Symposium on Advanced Control of Industrial Processes, 28-30 May, 2014, Mielparque Hiroshima, Hiroshima, Japan (2014)
Kazuma Ando, Shiro Masuda, A Direct Control Parameter Tuning Method Using Generalized Minimum Variance Evaluation, Advanced Mechatronic Systems (ICAMechS), 2014 International Conference, 10-12 Aug. 2014. pp.99-104 (2014)
Shiro Masuda1, YukiGohda and Yoshihiro Matsui, Disturbance Attenuation Fictitious Reference Iterative Tuning in Frequency Domain, Control, Automation and Systems (ICCAS), 2014 14th International Conference, pp. 258 - 263 (2014)
Shiro Masuda, Fictitious Reference Iterative Tuning Method for Disturbance Attenuation, Tutorial Workshop Data-Driven Controller Tuning: Basics and New Developments, SICE Annual Conference 2014, Hokkaido University (2014)