Shiro Masuda

J-GLOBAL         Last updated: Sep 10, 2018 at 21:12
 
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Name
Shiro Masuda

Research Areas

 
 

Academic & Professional Experience

 
Apr 2013
 - 
Today
Professor, Faculty of System Design, Tokyo Metropolitan University
 
Apr 2005
 - 
Mar 2013
Associate Professor, Faculty of System Design, Tokyo Metropolitan University
 
Apr 2000
 - 
Mar 2005
Associate Professor, Faculty of Engineering, Tokyo Metropolitan Institute of Technology
 
Dec 1998
 - 
Mar 2000
Associate Professor, Faculty of Engineering, Okayama University
 
Jun 1995
 - 
Dec 1998
Lecturer, Faculty of Engineering, Okayama University
 

Education

 
Apr 1987
 - 
Mar 1989
Dept. of Applied System Science, Graduate School of Engineering, Kyoto University
 
Apr 1983
 - 
Mar 1987
Dept. of Applied Mathematics and Physics, Faculty of Engineering, Kyoto University
 

Awards & Honors

 
May 2004
Model Predictive Control for Max-plus Linear Systems with Adjustable Parameters, Paper Award, The Institute of Systems, Control and Information Engineers
Winner: Hiroyuki Goto, Shiro Masuda, Takashi Amemiya, Kazuhiro Takeyasu
 

Published Papers

 
Takao Sato, Akira Yanou, Shiro Masuda
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E101A 460-466   Feb 2018
© 2018 The Institute of Electronics, Information and Communication Engineers. A ripple-free dual-rate control system is designed for a single-input single-output dual-rate system, in which the sampling interval of a plant output is longer than the...
Shiro Masuda, Xianda Kong, Koki Udagata, Yoshihiro Matsui
Electronics and Communications in Japan   100 24-31   Oct 2017
© 2017 Wiley Periodicals, Inc. The paper gives a controller tuning method using a virtual reference feedback tuning (VRFT) approach in frequency domain. While the original VRFT uses a data-driven performance index based on input/output data direct...
137(7) 891-897   Jul 2017   [Refereed]
Ryoko Yokoyama, Shiro Masuda
IEEJ Transactions on Electronics, Information and Systems   137 106-113   Jan 2017
This paper considers a PID gain tuning method based on generalized minimum variance evaluation. The method derives the PID gains for reducing the variance of the generalized output from regulatory control data disturbed by colored noise. Advantage...
Yoshihiro Matsui, Hideki Ayano, Shiro Masuda, Kazushi Nakano
IEEJ Transactions on Electronics, Information and Systems   137 884-890   Jan 2017
© 2017 The Institute of Electrical Engineers of Japan. In this paper, a realizing method of a prefilter to cancel the effect of input/output data of plants on controller tuning with Virtual Reference Feedback Tuning (VRFT) is proposed. VRFT tunes ...

Conference Activities & Talks

 
Shiro Masuda, Yoshihiro Matsui
Chinese Control Conference, CCC   7 Sep 2017   
© 2017 Technical Committee on Control Theory, CAA. This paper proposes data-driven feedback-feedforward controller design from closed-loop step response data. The proposed method directly tunes feedback controllers based on Virtual Reference Feedb...
Ryoko Yokoyama, Shiro Masuda
2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017   18 Jul 2017   
© 2017 IEEE. The paper gives analytical results on convergence property for the iterative data-driven PID gain tuning based on generalized minimum variance (GMV) regulatory control. The method can achieve improved PID gains based on generalized mi...
Takao Sato, Akira Yanou, Shiro Masuda, Nozomu Araki, Yasuo Konishi
International Conference on Advanced Mechatronic Systems, ICAMechS   10 Jan 2017   
© 2016 IEEE. This study proposes a new design for generalized predictive control in a multirate system in which the sampling interval of the plant output is an integer multiple of the hold interval of the control input. We design a system with one...
Ryoko Yokoyama, Shiro Masuda
International Conference on Advanced Mechatronic Systems, ICAMechS   10 Jan 2017   
© 2016 IEEE. This paper proposes a data-driven generalized minimum variance (GMV) regulatory control with constrained controller structure. The proposed approach can obtain control parameters that improve the controller performance based on genera...
Ryota Uematsu, Shiro Masuda
International Conference on Advanced Mechatronic Systems, ICAMechS   10 Jan 2017   
© 2016 IEEE. This paper provides a new generalized minimum variance (GMV) strategy based on input-output measurements. The proposed method can perform with no need for plant characteristics nor disturbance ones. The paper shows that the optimizati...