Minimum-Variance Control Allocation Considering Parametric Model Uncertainty

Mapping Intimacies ◽

10.2514/6.2022-0749 ◽

2022 ◽

Author(s):

Jared A. Grauer ◽

Jing Pei

Keyword(s):

Model Uncertainty ◽

Minimum Variance ◽

Parametric Model ◽

Control Allocation ◽

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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COOPERATIVE PATH-FOLLOWING OF MULTIPLE SURFACE VESSELS WITH PARAMETRIC MODEL UNCERTAINTY AND IN THE PRESENCE OF OCEAN CURRENTS

IFAC Proceedings Volumes ◽

10.3182/20070903-3-fr-2921.00017 ◽

2007 ◽

Vol 40 (15) ◽

pp. 84-89

Author(s):

JoãTo Almeida ◽

Carlos Silvestre ◽

António Pascoal

Keyword(s):

Model Uncertainty ◽

Path Following ◽

Parametric Model ◽

Ocean Currents ◽

Surface Vessels

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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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A Study of Methods to Remove Offset for Generalized Minimum Variance Control

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr1965.34.120 ◽

1998 ◽

Vol 34 (2) ◽

pp. 120-125 ◽

Author(s):

Kazunari TAKAHASHI ◽

Yasushi NAKAUCHI ◽

Yasuchika MORI

Keyword(s):

Minimum Variance ◽

Minimum Variance Control

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A type of autoleveller of high speed drawing frame based on minimum variance control

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) ◽

10.1109/fskd.2011.6019478 ◽

2011 ◽

Author(s):

Xuechuang Duan ◽

Wuneng Zhou

Keyword(s):

Minimum Variance ◽

Minimum Variance Control ◽

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