Data-driven Minimum Variance Control Using Regulatory Closed-loop Data Based on the FRIT Method

Shogo Okada; Shiro Masuda

doi:10.1541/ieejeiss.138.1580

Data-driven Minimum Variance Control Using Regulatory Closed-loop Data Based on the FRIT Method

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.138.1580 ◽

2018 ◽

Vol 138 (12) ◽

pp. 1580-1585

Author(s):

Shogo Okada ◽

Shiro Masuda

Keyword(s):

Closed Loop ◽

Minimum Variance ◽

Data Driven ◽

Minimum Variance Control

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

Electronics and Communications in Japan ◽

10.1002/ecj.12156 ◽

2019 ◽

Vol 102 (4) ◽

pp. 28-34

Author(s):

Shogo Okada ◽

Shiro Masuda

Keyword(s):

Closed Loop ◽

Minimum Variance ◽

Data Driven ◽

Minimum Variance Control

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Minimum variance control strategy for closed loop linear time invariant system

International Journal of System of Systems Engineering ◽

10.1504/ijsse.2019.10019220 ◽

2019 ◽

Vol 9 (1) ◽

pp. 62

Author(s):

Jian hong Wang

Keyword(s):

Control Strategy ◽

Closed Loop ◽

Linear Time ◽

Minimum Variance ◽

Invariant System ◽

Minimum Variance Control ◽

Linear Time Invariant ◽

Linear Time Invariant System ◽

Time Invariant ◽

Time Invariant System

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Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach

IEEE Transactions on Control Systems Technology ◽

10.1109/tcst.2006.883240 ◽

2007 ◽

Vol 15 (1) ◽

pp. 65-74 ◽

Cited By ~ 46

Author(s):

Xiaorui Wang ◽

Biao Huang ◽

Tongwen Chen

Keyword(s):

Performance Assessment ◽

Control Design ◽

Minimum Variance ◽

Data Driven ◽

Control Performance ◽

Minimum Variance Control ◽

And Control ◽

Control Performance Assessment

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Data-driven subspace approach to MIMO Minimum Variance Control performance assessment

Proceedings of the 10th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2012.6358415 ◽

2012 ◽

Cited By ~ 2

Author(s):

Hua Yang ◽

Shaoyuan Li

Keyword(s):

Performance Assessment ◽

Minimum Variance ◽

Data Driven ◽

Control Performance ◽

Minimum Variance Control ◽

Control Performance Assessment

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Closed-loop stability and performance analysis of least-squares and minimum-variance control algorithms for multiconjugate adaptive optics

Applied Optics ◽

10.1364/ao.44.000993 ◽

2005 ◽

Vol 44 (6) ◽

pp. 993 ◽

Cited By ~ 32

Author(s):

Luc Gilles

Keyword(s):

Performance Analysis ◽

Least Squares ◽

Adaptive Optics ◽

Closed Loop ◽

Minimum Variance ◽

Control Algorithms ◽

Minimum Variance Control ◽

And Performance ◽

Loop Stability

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Minimum variance control strategy for closed loop linear time invariant system

International Journal of System of Systems Engineering ◽

10.1504/ijsse.2019.097908 ◽

2019 ◽

Vol 9 (1) ◽

pp. 62

Author(s):

Jian hong Wang

Keyword(s):

Control Strategy ◽

Closed Loop ◽

Linear Time ◽

Minimum Variance ◽

Invariant System ◽

Minimum Variance Control ◽

Linear Time Invariant ◽

Linear Time Invariant System ◽

Time Invariant ◽

Time Invariant System

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Data-driven I-PD Gain Tuning using Closed-loop Step Response Data

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.139.882 ◽

2019 ◽

Vol 139 (8) ◽

pp. 882-888

Author(s):

Shiro Masuda ◽

Jongho Park ◽

Yoshihiro Matsui

Keyword(s):

Closed Loop ◽

Data Driven ◽

Step Response ◽

Response Data

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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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Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.245 ◽

2020 ◽

Vol 53 (2) ◽

pp. 13410-13417

Author(s):

Kevin E. Lucas ◽

Daniel J. Pagano ◽

Douglas A. Plaza ◽

David Alejandro Vaca—Benavides ◽

Sara J. Ríos

Keyword(s):

Stochastic Control ◽

Power Converters ◽

Minimum Variance ◽

Control Approach ◽

Minimum Variance Control ◽

Dc Power

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