Subspace based methods for continuous-time model identification of MIMO systems from filtered sampled data

2007 European Control Conference (ECC) ◽

10.23919/ecc.2007.7068600 ◽

2007 ◽

Cited By ~ 6

Author(s):

Guillaume Mercere ◽

Regis Ouvrard ◽

Marion Gilson ◽

Hugues Garnier

Keyword(s):

Continuous Time ◽

Mimo Systems ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model

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Authors' reply to “Comments on ‘Continuous-time model identification from sampled data: implementation issues and performance evaluation’ by E. Boje”

International Journal of Control ◽

10.1080/00207170500249299 ◽

2005 ◽

Vol 78 (14) ◽

pp. 1153-1154

Author(s):

H. Garnier * ◽

M. Mensler ◽

A. Richard

Keyword(s):

Performance Evaluation ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model ◽

And Performance

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Time-domain approaches to continuous-time model identification of dynamical systems from sampled data

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1383680 ◽

2004 ◽

Cited By ~ 12

Author(s):

H. Garnier ◽

P. Young

Keyword(s):

Dynamical Systems ◽

Time Domain ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model

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Continuous-time model identification from sampled data: Implementation issues and performance evaluation

International Journal of Control ◽

10.1080/0020717031000149636 ◽

2003 ◽

Vol 76 (13) ◽

pp. 1337-1357 ◽

Cited By ~ 188

Author(s):

H. Garnier ◽

M. Mensler ◽

A. Richard

Keyword(s):

Performance Evaluation ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model ◽

And Performance

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Comments on: “Continuous time model identification from sampled data: implementation and performance evaluation”, Garnier, Mensler and Richard ()

International Journal of Control ◽

10.1080/00207170500249240 ◽

2005 ◽

Vol 78 (14) ◽

pp. 1150-1152

Author(s):

E. Boje *

Keyword(s):

Performance Evaluation ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model ◽

And Performance

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Continuous-Time Model Identification and State Estimation Using Non-Uniformly Sampled Data

IFAC Proceedings Volumes ◽

10.3182/20090706-3-fr-2004.00193 ◽

2009 ◽

Vol 42 (10) ◽

pp. 1163-1168 ◽

Cited By ~ 6

Author(s):

Rolf Johansson

Keyword(s):

State Estimation ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model

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Continuous-time model identification using non-uniformly sampled data

2013 Africon ◽

10.1109/afrcon.2013.6757842 ◽

2013 ◽

Cited By ~ 1

Author(s):

Rolf Johansson ◽

Marzia Cescon ◽

Fredrik Stahl

Keyword(s):

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model

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An approach to continuous-time model identification from non-uniformly sampled data

Proceedings of the 41st IEEE Conference on Decision and Control, 2002. ◽

10.1109/cdc.2002.1184570 ◽

2003 ◽

Cited By ~ 7

Author(s):

E. Huselstein ◽

H. Garnier

Keyword(s):

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model

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Continuous-Time Model Identification From Filtered Sampled Data: Error Analysis

IEEE Transactions on Automatic Control ◽

10.1109/tac.2020.3006354 ◽

2020 ◽

Vol 65 (10) ◽

pp. 4005-4015

Author(s):

Xiao-Li Hu ◽

James S. Welsh

Keyword(s):

Error Analysis ◽

Continuous Time ◽

Model Identification ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model ◽

Data Error

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Continuous-time model identification of time-varying systems using non-uniformly sampled data

2016 IEEE Conference on Control Applications (CCA) ◽

10.1109/cca.2016.7587913 ◽

2016 ◽

Author(s):

Rolf Johansson

Keyword(s):

Continuous Time ◽

Model Identification ◽

Time Varying ◽

Sampled Data ◽

Continuous Time Model ◽

Time Model ◽

Time Varying Systems

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CONTINUOUS-TIME MODEL IDENTIFICATION OF REAL-LIFE PROCESSES WITH THE CONTSID TOOLBOX

IFAC Proceedings Volumes ◽

10.3182/20020721-6-es-1901.01005 ◽

2002 ◽

Vol 35 (1) ◽

pp. 115-120

Author(s):

H. Gamier

Keyword(s):

Continuous Time ◽

Real Life ◽

Model Identification ◽

Continuous Time Model ◽

Time Model

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