Extension Method of Generalized Minimum Variance Control without Coprime Factorization

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.137.1134 ◽

2017 ◽

Vol 137 (8) ◽

pp. 1134-1135

Author(s):

Akira Yanou

Keyword(s):

Minimum Variance ◽

Extension Method ◽

Minimum Variance Control ◽

Coprime Factorization

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An extension of generalized minimum variance control for multi-input multi-output systems using coprime factorization approach

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) ◽

10.1109/acc.2000.877009 ◽

2000 ◽

Author(s):

A. Inoue ◽

A. Yanou ◽

T. Sato ◽

Y. Hirashima

Keyword(s):

Minimum Variance ◽

Factorization Approach ◽

Minimum Variance Control ◽

Coprime Factorization

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On-demand type feedback controller for state space based generalized minimum variance control using coprime factorization

2015 International Automatic Control Conference (CACS) ◽

10.1109/cacs.2015.7378367 ◽

2015 ◽

Author(s):

Akira Yanou ◽

Mamoru Minami ◽

Takayuki Matsuno

Keyword(s):

State Space ◽

Minimum Variance ◽

Feedback Controller ◽

Minimum Variance Control ◽

Coprime Factorization ◽

On Demand ◽

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Extension Method of Generalized Minimum Variance Control Using Noise Term

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.141.398 ◽

2021 ◽

Vol 141 (3) ◽

pp. 398-399

Author(s):

Akira Yanou

Keyword(s):

Minimum Variance ◽

Extension Method ◽

Minimum Variance Control ◽

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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 ◽

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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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A subrate weighted minimum-variance control law

International Journal of Control ◽

10.1080/00207179608921688 ◽

1996 ◽

Vol 65 (1) ◽

pp. 93-115 ◽

Author(s):

ALAN W. TRUMAN

Keyword(s):

Minimum Variance ◽

Control Law ◽

Minimum Variance Control

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Empirical Solutions of the Minimum Variance Control Problems in the Case of a Process With Hard Bounds Input

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)51688-2 ◽

1995 ◽

Vol 28 (2) ◽

pp. 320-326

Author(s):

P. Fabiani

Keyword(s):

Minimum Variance ◽

Control Problems ◽

Minimum Variance Control

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Self-Tuning Two-Degree-of-Freedom PID Compensator Based on Two-Degree-of-Freedom Generalized Minimum Variance Control

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)41623-5 ◽

2001 ◽

Vol 34 (14) ◽

pp. 207-212 ◽

Author(s):

Takao Sato ◽

Akira Inoue ◽

Yoichi Hirashima

Keyword(s):

Minimum Variance ◽

Degree Of Freedom ◽

Minimum Variance Control ◽

Self Tuning ◽

Two Degree Of Freedom

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Stabilization of artificial gas-lift process using nonlinear predictive generalized minimum variance control

2016 American Control Conference (ACC) ◽

10.1109/acc.2016.7525577 ◽

2016 ◽

Author(s):

Jing Shi ◽

Rachid Errouissi ◽

Ahmed Al-Durra ◽

Igor Boiko

Keyword(s):

Minimum Variance ◽

Minimum Variance Control ◽

Artificial Gas Lift ◽

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A state space approach to minimum variance control of multivariable ARMAX systems

10.1109/cdc.1989.70542 ◽

2003 ◽

Author(s):

C. Arnoldi ◽

R.H. Kwong

Keyword(s):

State Space ◽

Minimum Variance ◽

State Space Approach ◽

Minimum Variance Control ◽

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