Reduced order positive filter design for positive uncertain discrete-time linear systems*

IEEE Control Systems Letters ◽

10.1109/lcsys.2021.3089368 ◽

2021 ◽

pp. 1-1

Author(s):

Amanda Spagolla ◽

Cecilia F. Morais ◽

Ricardo C. L. F. Oliveira ◽

Pedro L. D. Peres

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Filter Design ◽

Reduced Order ◽

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Robust reduced-order l2−l∞ filtering for network-based discrete-time linear systems

Signal Processing ◽

10.1016/j.sigpro.2014.10.023 ◽

2015 ◽

Vol 109 ◽

pp. 110-118 ◽

Author(s):

Zhuo Zhang ◽

Zexu Zhang ◽

Shichun Yang

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Reduced Order ◽

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A novel approach to unknown input filter design for discrete-time linear systems

10.1016/j.automatica.2014.07.015 ◽

2014 ◽

Vol 50 (11) ◽

pp. 2835-2839 ◽

Author(s):

Behnam Allahverdi Charandabi ◽

Horacio J. Marquez

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Filter Design ◽

Unknown Input ◽

Novel Approach ◽

Input Filter ◽

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Reduced order model predictive control for constrained discrete-time linear systems

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.1685 ◽

2011 ◽

Vol 22 (2) ◽

pp. 144-169 ◽

Author(s):

N. Hara ◽

A. Kojima

Keyword(s):

Model Predictive Control ◽

Linear Systems ◽

Predictive Control ◽

Discrete Time ◽

Reduced Order Model ◽

Order Model ◽

Reduced Order ◽

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Further results on “Reduced order disturbance observer for discrete-time linear systems”

10.1016/j.automatica.2018.04.032 ◽

2018 ◽

Vol 93 ◽

pp. 550-553 ◽

Author(s):

Jinya Su ◽

Wen-Hua Chen

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Disturbance Observer ◽

Reduced Order ◽

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Reduced-order observer-based interval estimation for discrete-time linear systems

Systems Science & Control Engineering ◽

10.1080/21642583.2020.1843085 ◽

2020 ◽

pp. 1-10

Author(s):

Yantao Chen ◽

Junqi Yang ◽

Zhenhua Wang ◽

Hongwei Zhang

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Interval Estimation ◽

Reduced Order ◽

Reduced Order Observer ◽

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Reduced order disturbance observer for discrete-time linear systems

10.1016/j.automatica.2013.01.014 ◽

2013 ◽

Vol 49 (4) ◽

pp. 968-975 ◽

Author(s):

Kyung-Soo Kim ◽

Keun-Ho Rew

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Disturbance Observer ◽

Reduced Order ◽

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The design of optimal reduced-order stochastic observers for discrete-time linear systems

IEEE Transactions on Automatic Control ◽

10.1109/9.106172 ◽

1991 ◽

Vol 36 (12) ◽

pp. 1502-1509 ◽

Author(s):

B. Priel ◽

E. Soroka ◽

U. Shaked

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Reduced Order ◽

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Delay-dependent robust ℋ∞ filter design for state-delayed discrete-time linear systems via homogeneous polynomial matrices

IET Control Theory and Applications ◽

10.1049/iet-cta.2012.0682 ◽

2013 ◽

Vol 7 (1) ◽

pp. 125-135 ◽

Author(s):

Márcio J. Lacerda ◽

Ricardo C.L.F. Oliveira ◽

Valter J.S. Leite ◽

Pedro L.D. Peres

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Homogeneous Polynomial ◽

Filter Design ◽

Polynomial Matrices ◽

Delay Dependent ◽

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The design of optimal reduced order stochastic observers for discrete-time linear systems

IEEE Transactions on Automatic Control ◽

10.1109/9.100943 ◽

1991 ◽

Vol 36 (11) ◽

pp. a1300-a1307

Author(s):

B. Priel ◽

E. Soroka ◽

U. Shaked

Keyword(s):

Linear Systems ◽

Discrete Time ◽

Reduced Order ◽

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Reduced order model predictive control method based on decomposition of discrete-time linear systems

2007 46th IEEE Conference on Decision and Control ◽

10.1109/cdc.2007.4434580 ◽

2007 ◽

Author(s):

Naoyuki Hara ◽

Akira Kojima

Keyword(s):

Model Predictive Control ◽

Linear Systems ◽

Predictive Control ◽

Discrete Time ◽

Control Method ◽

Reduced Order Model ◽

Order Model ◽

Reduced Order ◽

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