Data-driven Minimum Variance Regulatory Control for Linear Parametrized Controllers

Shogo Okada; Shiro Masuda

doi:10.1541/ieejeiss.139.469

Data-driven Minimum Variance Regulatory Control for Linear Parametrized Controllers

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.139.469 ◽

2019 ◽

Vol 139 (4) ◽

pp. 469-475

Author(s):

Shogo Okada ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Data-driven PID Gain Tuning from Regulatory Control Data Based on Generalized Minimum Variance Evaluation

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.137.106 ◽

2017 ◽

Vol 137 (1) ◽

pp. 106-113

Author(s):

Ryoko Yokoyama ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven ◽

Control Data

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Data-driven generalized minimum variance regulatory control

2014 European Control Conference (ECC) ◽

10.1109/ecc.2014.6862608 ◽

2014 ◽

Cited By ~ 12

Author(s):

Kazuma Ando ◽

Shiro Masuda ◽

Manabu Kano

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Data-driven generalized minimum variance regulatory control with constrained controller structure

2016 International Conference on Advanced Mechatronic Systems (ICAMechS) ◽

10.1109/icamechs.2016.7813414 ◽

2016 ◽

Cited By ~ 1

Author(s):

Ryoko Yokoyama ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Data-driven generalized minimum variance regulatory control for model-free PID gain tuning

2015 IEEE Conference on Control Applications (CCA) ◽

10.1109/cca.2015.7320614 ◽

2015 ◽

Cited By ~ 6

Author(s):

Ryoko Yokoyama ◽

Shiro Masuda ◽

Manabu Kano

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven ◽

Model Free

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Convergence property for iterative data-driven PID gain tuning based on generalized minimum variance regulatory control

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) ◽

10.1109/adconip.2017.7983833 ◽

2017 ◽

Cited By ~ 3

Author(s):

Ryoko Yokoyama ◽

Shiro Masuda

Keyword(s):

Convergence Property ◽

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Performance Improvement in Iterative Data-driven PID Gain Tuning Based on Generalized Minimum Variance Regulatory Control

2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecticon.2018.8619874 ◽

2018 ◽

Author(s):

Tsukasa Kono ◽

Shiro Masuda

Keyword(s):

Performance Improvement ◽

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Data-Driven Generalized Minimum Variance Regulatory Control for CARMA Models with Unknown Disturbance Characteristics

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.136.907 ◽

2016 ◽

Vol 136 (7) ◽

pp. 907-914 ◽

Cited By ~ 1

Author(s):

Ryota Uematsu ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven ◽

Unknown Disturbance

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Data-driven generalized minimum variance regulatory control with unknown disturbance

2016 International Conference on Advanced Mechatronic Systems (ICAMechS) ◽

10.1109/icamechs.2016.7813412 ◽

2016 ◽

Author(s):

Ryota Uematsu ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven ◽

Unknown Disturbance

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Iterative data-driven generalized minimum variance regulatory control via ℓ2-regularization

2017 IEEE Conference on Control Technology and Applications (CCTA) ◽

10.1109/ccta.2017.8062737 ◽

2017 ◽

Cited By ~ 1

Author(s):

Yoshitada Shimamoto ◽

Shiro Masuda

Keyword(s):

Minimum Variance ◽

Regulatory Control ◽

Data Driven

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Data-driven minimum variance control using regulatory closed-loop data based on the FRIT method

2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) ◽

10.23919/sice.2017.8105758 ◽

2017 ◽

Author(s):

Shogo Okada ◽

Shiro Masuda

Keyword(s):

Closed Loop ◽

Minimum Variance ◽

Data Driven ◽

Minimum Variance Control

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