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ORCIDShiro Masuda
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2020 – today
- 2022
[c30]Yui Takano, Shiro Masuda, Mitsuru Toyoda:
Iterative Feedback Tuning for Regulatory Control Systems Using Identified Sensitivity Functions via Predictive Error Method. SICE 2022: 46-51- 2021
- [c29]Ryota Uematsu, Shiro Masuda:
Closed-loop Identification and Dead Time Estimation Based on Generalized Minimum Variance Evaluation. ECC 2021: 2364-2369 - [c28]Ryota Uematsu, Shiro Masuda:
Closed-loop Identification and Periodic Disturbance Estimation Based on Generalized Minimum Variance Evaluation. ICSTCC 2021: 582-587
2010 – 2019
- 2019
- [c27]Shiro Masuda:
Iterative PID gain tuning using gradient estimate of variance cost criterion through regulatory control data. ASCC 2019: 638-642 - [c26]Shogo Okada, Tsukasa Yokoyama, Shiro Masuda:
Gradient Based Pre-filter Design for Data-driven Parameter Updating for Regulatory Controller Based on Variance Evaluation. CDC 2019: 2898-2903 - 2018
- [j8]Takao Sato
, Akira Yanou, Shiro Masuda:
Ripple-Free Dual-Rate Control with Two-Degree-of-Freedom Integrator. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(2): 460-466 (2018) - [c25]Ikuro Mizunnoto, Satoshi Murakami, Shiro Masuda:
ASPR based Adaptive Output Feedback Control with an Output Predictive Feedforward Input for Continuous-Time Systems. CDC 2018: 613-619 - 2017
- [c24]Shogo Okada, Shiro Masuda:
Data-driven linearly parametrized controller design based on minimum variance evaluation. ASCC 2017: 513-518 - [c23]Ryota Kajiwara, Shiro Masuda, Yoshihiro Matsui:
Pre-filter design for non-iterative data-driven controller parameters tuning using closed-loop step response data. ASCC 2017: 519-524 - [c22]Fumiya Tsukui, Shiro Masuda:
Non-iterative data-driven controller parameters tuning of feedback linearizing controller. ASCC 2017: 525-530 - [c21]Yoshitada Shimamoto, Shiro Masuda:
Iterative data-driven generalized minimum variance regulatory control via ℓ2-regularization. CCTA 2017: 1923-1928 - 2016
- [j7]Yoshihiro Matsui, Hideki Ayano, Shiro Masuda, Kazushi Nakano:
Realization of Prefilter for Virtual Reference Feedback Tuning Using Closed-Loop Step Response Data. J. Robotics Mechatronics 28(5): 707-714 (2016) - 2015
- [j6]GuoDong Li, Shiro Masuda, Masatake Nagai:
Predictor design using an improved grey model in control systems. Int. J. Comput. Integr. Manuf. 28(3): 297-306 (2015) - [c20]Ryoko Yokoyama, Shiro Masuda, Manabu Kano:
Data-driven generalized minimum variance regulatory control for model-free PID gain tuning. CCA 2015: 82-87 - [c19]Ryota Uematsu, Shiro Masuda, Manabu Kano:
Closed-loop identification of plant and disturbance models based on generalized minimum variance evaluation. CCA 2015: 175-180 - [c18]Satoki Makino, Shiro Masuda:
Self-tuning PID controller based on generalized minimum variance evaluation. CCA 2015: 1248-1253 - [c17]Yuki Ishii, Shiro Masuda, Manabu Kano:
Fictitious reference iterative tuning based on variance evaluation for disturbance attenuation in non-minimum phase plants. CCA 2015: 1593-1598 - [c16]Shiro Masuda, Xianda Kong, Koki Udagawa, Yoshihiro Matsui:
Virtual reference feedback tuning using closed-loop step response data in frequency domain. ASCC 2015: 1-4 - [c15]Yoshihiro Matsui, Hideki Ayano, Shiro Masuda, Kazushi Nakano:
A controller design for nonlinear systems with time-delay using closed-loop step response data. ASCC 2015: 1-6 - 2014
- [c14]Yasushi Mahara, Shiro Masuda, Manabu Kano:
Simultaneous update of model and controller using fictitious reference iterative tuning for disturbance attenuation based on variance evaluation. CCA 2014: 1449-1454 - [c13]Masahiro Tanaka, Shiro Masuda, Manabu Kano:
Domain of attraction for optimization of data-based H2 control performance criterion. CCA 2014: 1455-1460 - [c12]Kazuma Ando, Shiro Masuda, Manabu Kano:
Data-driven generalized minimum variance regulatory control. ECC 2014: 418-423 - 2013
- [c11]Yuki Gohda, Shiro Masuda, Yoshihiro Matsui:
A Direct PID Gain Tuning Based on FRIT Method Using Optimal Filter in the Frequency Domain. ALCOSP 2013: 349-354 - [c10]Shiro Masuda, Kazuki Terakado, Kazuki Ando:
Direct Control Parameter Tuning Method for Disturbance Attenuation Based on Variance Evaluation. ALCOSP 2013: 582-586 - [c9]Hidekazu Kugemoto, Osamu Suenaga, Shiro Masuda:
A Quantitative Evaluation Method for Plant Operation in Alarm Management Based on a Queuing Model. IFAC HMS 2013: 1-7 - 2011
- [c8]Shiro Masuda:
A direct PID gains tuning method for DC motor control using an input-output data generated by disturbance response. CCA 2011: 724-729 - 2010
- [j5]GuoDong Li, Shiro Masuda, Daisuke Yamaguchi, Masatake Nagai, Chen-Hong Wang:
An improved grey dynamic GM(2, 1) model. Int. J. Comput. Math. 87(7): 1617-1629 (2010) - [j4]GuoDong Li, Shiro Masuda, Daisuke Yamaguchi, Masatake Nagai:
A New Reliability Prediction Model in Manufacturing Systems. IEEE Trans. Reliab. 59(1): 170-177 (2010) - [c7]Shiro Masuda, GuoDong Li:
An FRIT method for disturbance attenuation using input-output data for disturbance responses. ALCOSP 2010: 145-150
2000 – 2009
- 2008
- [j3]GuoDong Li, Daisuke Yamaguchi, Masatake Nagai, Shiro Masuda:
The prediction of asphalt pavement permanent deformation by T-GM(1, 2) dynamic model. Int. J. Syst. Sci. 39(10): 959-967 (2008) - 2007
- [j2]Hiroyuki Goto, Shiro Masuda:
Consideration of Capacity and Order Constraints for Event-Varying MPL Systems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(9): 2024-2028 (2007) - [c6]Shiro Masuda, Akira Fujimori, Hideyuki Nishida, Chikashi Nakazawa, Tetsuro Matsui, Yoshikazu Fukuyama:
Moving horizon simultaneous estiamtion of process gain and disturbanes for an oxygen converter gas r. ALCOSP 2007: 75-80 - [c5]Akira Yanou, Akira Inoue, Shiro Masuda:
An Extension of Two Degree-of-Freedom of Self-Tuning GPC Based on State-space Approach Using Coprime Factorization Approach. ICNSC 2007: 542-546 - [c4]Shiro Masuda, Hiroyuki Goto:
Feedback properties of model predictive control for max-plus-linear systems. ICNSC 2007: 553-558 - 2003
- [c3]Hiroyuki Goto, Kazuhiro Takeyasu, Shiro Masuda, Takashi Amemiya:
A gain scheduled model predictive control for linear-parameter-varying max-plus-linear systems. ACC 2003: 4016-4021 - 2002
- [c2]Shiro Masuda, Hiroyuki Goto, Takashi Amemiya, Kazuhiro Takeyasu:
An inverse system for linear parameter-varying max-plus-linear systems. CDC 2002: 4549-4554 - 2001
- [c1]Shiro Masuda:
On a direct relation between GPC in a state space approach and GPC in a polynomial approach. ECC 2001: 3440-3445
1990 – 1999
- 1993
- [j1]Kenji Sugimoto, Akira Inoue, Shiro Masuda:
A direct computation of state deadbeat feedback gains. IEEE Trans. Autom. Control. 38(8): 1283-1284 (1993)
Coauthor Index
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