Sparse Deconvolution of Electrodermal Activity via Continuous-Time System Identification

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2019.2892352 ◽

2019 ◽

Vol 66 (9) ◽

pp. 2585-2595 ◽

Author(s):

Md. Rafiul Amin ◽

Rose T. Faghih

Keyword(s):

System Identification ◽

Continuous Time ◽

Electrodermal Activity ◽

Time System ◽

Continuous Time System

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Continuous-time system identification of the steering dynamics of a ship on a river

International Journal of Control ◽

10.1080/00207179.2014.897036 ◽

2014 ◽

Vol 87 (7) ◽

pp. 1387-1405 ◽

Author(s):

Arturo Padilla ◽

Juan I. Yuz ◽

Benjamin Herzer

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Phasor approach to continuous-time system identification

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/7.766948 ◽

1999 ◽

Vol 35 (2) ◽

pp. 683-699 ◽

Author(s):

O.R. Reynolds ◽

M. Pachter

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Continuous-time system identification in the delta-domain using adjusted integration

Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Technical Committee 7. Conference Proceedings ◽

10.1109/imtc.1996.507396 ◽

2002 ◽

Author(s):

Z. Kowalczuk

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Frequency-domain Approach to Continuous-time System Identification: Some Practical Aspects

Identification of Continuous-time Models from Sampled Data - Advances in Industrial Control ◽

10.1007/978-1-84800-161-9_8 ◽

2008 ◽

pp. 215-248 ◽

Author(s):

Rik Pintelon ◽

Johan Schoukens ◽

Yves Rolain

Keyword(s):

System Identification ◽

Frequency Domain ◽

Continuous Time ◽

Time System ◽

Frequency Domain Approach ◽

Continuous Time System

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Stochastic system transformation using generalized orthonormal basis functions with applications to continuous-time system identification

10.1016/j.automatica.2011.01.059 ◽

2011 ◽

Vol 47 (5) ◽

pp. 1001-1006 ◽

Author(s):

Yoshito Ohta

Keyword(s):

System Identification ◽

Stochastic System ◽

Continuous Time ◽

Orthonormal Basis ◽

Basis Functions ◽

System Transformation ◽

Time System ◽

Continuous Time System

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Instrumental variable method with optimal fractional differentiation order for continuous-time system identification

IFAC Proceedings Volumes ◽

10.3182/20090706-3-fr-2004.00150 ◽

2009 ◽

Vol 42 (10) ◽

pp. 904-909 ◽

Author(s):

Stéphane Victor ◽

Rachid Malti ◽

Alain Oustaloup

Keyword(s):

System Identification ◽

Continuous Time ◽

Instrumental Variable ◽

Variable Method ◽

Fractional Differentiation ◽

Time System ◽

Instrumental Variable Method ◽

Continuous Time System

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Convergence analysis of refined instrumental variable method for continuous-time system identification

IET Control Theory and Applications ◽

10.1049/iet-cta.2010.0211 ◽

2011 ◽

Vol 5 (7) ◽

pp. 868-877 ◽

Author(s):

X. Liu ◽

J. Wang ◽

W.X. Zheng

Keyword(s):

System Identification ◽

Convergence Analysis ◽

Continuous Time ◽

Instrumental Variable ◽

Variable Method ◽

Time System ◽

Instrumental Variable Method ◽

Continuous Time System

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Continuous-time system identification of a ship on a river

52nd IEEE Conference on Decision and Control ◽

10.1109/cdc.2013.6760592 ◽

2013 ◽

Author(s):

Arturo Padilla ◽

Juan I. Yuz

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Comparison of sixteen continuous-time system identification methods with the contsid toolbox

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099841 ◽

1999 ◽

Author(s):

M. Mensler ◽

H. Gamier ◽

A. Richard ◽

P. Sibille

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Identification Methods ◽

Continuous Time System

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Fast Determination of Vehicle Suspension Parameters via Continuous Time System Identification * *This work has been supported by the Linz Center of Mechatronics (LCM) in the framework of the Austrian COMET-K2 program.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.08.066 ◽

2016 ◽

Vol 49 (11) ◽

pp. 448-453 ◽

Author(s):

Sandra Thaller ◽

Florian Reiterer ◽

Roman Schmied ◽

Harald Waschl ◽

Helmut Kokal ◽

...

Keyword(s):

System Identification ◽

Continuous Time ◽

Vehicle Suspension ◽

Time System ◽

Fast Determination ◽

Suspension Parameters ◽

Continuous Time System

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