System identification—continuous time

Continuous time non-linear system identification in the frequency domain

International Journal of Control ◽

10.1080/00207170110052239 ◽

2001 ◽

Vol 74 (11) ◽

pp. 1052-1061 ◽

Cited By ~ 20

Author(s):

L. M. Li ◽

S. A. Billings

Keyword(s):

System Identification ◽

Linear System ◽

Frequency Domain ◽

Continuous Time ◽

Non Linear ◽

Linear System Identification ◽

Non Linear System

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Continuous-Time Nonlinear Block-Oriented Dynamic System Identification from Sampled Step and Step-Like Responses

2018 23rd International Conference on Methods & Models in Automation & Robotics (MMAR) ◽

10.1109/mmar.2018.8486118 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jaroslaw Figwer

Keyword(s):

System Identification ◽

Dynamic System ◽

Continuous Time

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Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

International Journal of Systems Science ◽

10.1080/00207721.2015.1090643 ◽

2015 ◽

Vol 47 (15) ◽

pp. 3537-3544 ◽

Cited By ~ 3

Author(s):

Kirubhakaran Krishnanathan ◽

Sean R. Anderson ◽

Stephen A. Billings ◽

Visakan Kadirkamanathan

Keyword(s):

System Identification ◽

Nonlinear Systems ◽

Continuous Time ◽

Approximate Bayesian Computation ◽

Bayesian Computation ◽

Computational System ◽

Approximate Bayesian

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System identification?continuous time

Nonlinearity in Structural Dynamics ◽

10.1887/0750303565/b295c7 ◽

2004 ◽

Keyword(s):

System Identification ◽

Continuous Time

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Robust system identification of continuous-time model from frequency response function data

2011 9th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2011.5970596 ◽

2011 ◽

Author(s):

Wei Tang ◽

Zhongke Shi

Keyword(s):

System Identification ◽

Frequency Response ◽

Response Function ◽

Continuous Time ◽

Frequency Response Function ◽

Continuous Time Model ◽

Time Model ◽

Function Data ◽

Robust 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 ◽

Cited By ~ 4

Author(s):

Arturo Padilla ◽

Juan I. Yuz ◽

Benjamin Herzer

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Wavelet neural networks for continuous time nonlinear system identification

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)56663-x ◽

1999 ◽

Vol 32 (2) ◽

pp. 3885-3890

Author(s):

W.C. Daniel Ho ◽

Jinhua Xu

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Continuous Time ◽

Nonlinear System Identification ◽

Wavelet Neural Networks

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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 ◽

Cited By ~ 1

Author(s):

O.R. Reynolds ◽

M. Pachter

Keyword(s):

System Identification ◽

Continuous Time ◽

Time System ◽

Continuous Time System

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Continuous-time linear time-varying system identification with a frequency-domain kernel-based estimator

IET Control Theory and Applications ◽

10.1049/iet-cta.2016.0385 ◽

2017 ◽

Vol 11 (4) ◽

pp. 457-465 ◽

Cited By ~ 7

Author(s):

John Lataire ◽

Rik Pintelon ◽

Dario Piga ◽

Roland Tóth

Keyword(s):

System Identification ◽

Frequency Domain ◽

Continuous Time ◽

Linear Time ◽

Time Varying ◽

Time Linear

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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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