Wiener System Identification using Best Linear Approximation within the LS-SVM framework

2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI) ◽

10.1109/la-cci.2016.7885698 ◽

2016 ◽

Author(s):

Ricardo Castro-Garcia ◽

Johan A. K. Suykens

Keyword(s):

System Identification ◽

Linear Approximation ◽

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Generalized Wiener system identification: General backlash nonlinearity and finite impulse response linear part

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2437 ◽

2013 ◽

Vol 28 (11) ◽

pp. 1174-1188 ◽

Author(s):

John Reyland ◽

Er-Wei Bai

Keyword(s):

System Identification ◽

Impulse Response ◽

Finite Impulse Response ◽

Linear Part ◽

Wiener System ◽

Backlash Nonlinearity

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Wiener System Identification with Four-Segment and Analytically Invertible Nonlinearity Model

2007 American Control Conference ◽

10.1109/acc.2007.4282787 ◽

2007 ◽

Author(s):

Yashodhan Tarte ◽

YangQuan Chen

Keyword(s):

System Identification ◽

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Weighted Principal Component Analysis for Wiener System Identification - Regularization and non-Gaussian Excitations

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.195 ◽

2015 ◽

Vol 48 (28) ◽

pp. 602-607 ◽

Author(s):

Qinghua Zhang ◽

Vincent Laurain ◽

Jiandong Wang

Keyword(s):

Principal Component Analysis ◽

System Identification ◽

Principal Component ◽

Component Analysis ◽

Wiener System ◽

Weighted Principal Component ◽

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Wiener system identification using B-spline functions with De Boor recursion

Sensor Signal Processing for Defence (SSPD 2011) ◽

10.1049/ic.2011.0138 ◽

2011 ◽

Author(s):

X. Hong ◽

R.J. Mitchell ◽

S. Chen

Keyword(s):

System Identification ◽

Spline Functions ◽

B Spline ◽

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An improved Hammerstein-Wiener system identification with application to virtualized software system

2015 IEEE Conference on Control Applications (CCA) ◽

10.1109/cca.2015.7320831 ◽

2015 ◽

Author(s):

Dharma Aryani ◽

Liuping Wang ◽

Tharindu Patikirikorala

Keyword(s):

System Identification ◽

Software System ◽

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A semiparametric Bayesian approach to Wiener system identification*

IFAC Proceedings Volumes ◽

10.3182/20120711-3-be-2027.00274 ◽

2012 ◽

Vol 45 (16) ◽

pp. 1137-1142 ◽

Author(s):

Fredrik Lindsten ◽

Thomas B. Schön ◽

Michael I. Jordan

Keyword(s):

System Identification ◽

Bayesian Approach ◽

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Single Minimum Nonlinearity Wiener System Identification by Weighted Principal Component Analysis

IFAC Proceedings Volumes ◽

10.3182/20130703-3-fr-4038.00061 ◽

2013 ◽

Vol 46 (11) ◽

pp. 384-389

Author(s):

Qinghua Zhang ◽

Vincent Laurain

Keyword(s):

Principal Component Analysis ◽

System Identification ◽

Principal Component ◽

Component Analysis ◽

Wiener System ◽

Weighted Principal Component

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614 A Continuous-time System Identification for Nonlinear Mechanical Systems using Piecewise Linear Approximation

The Proceedings of Conference of Kansai Branch ◽

10.1299/jsmekansai.2016.91.208 ◽

2016 ◽

Vol 2016.91 (0) ◽

pp. 208-211

Author(s):

Fumitoshi Sakai

Keyword(s):

System Identification ◽

Linear Approximation ◽

Continuous Time ◽

Piecewise Linear ◽

Mechanical Systems ◽

Piecewise Linear Approximation ◽

Time System ◽

Nonlinear Mechanical ◽

Nonlinear Mechanical Systems ◽

Continuous Time System

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Wiener System Identification Using Iterative Instrumental Variable Method

Intelligent Computing Applications for Sustainable Real-World Systems - Proceedings in Adaptation, Learning and Optimization ◽

10.1007/978-3-030-44758-8_36 ◽

2020 ◽

pp. 389-398

Author(s):

Vikram Saini ◽

Lillie Dewan

Keyword(s):

System Identification ◽

Instrumental Variable ◽

Variable Method ◽

Wiener System ◽

Instrumental Variable Method

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Hammerstein system identification through best linear approximation inversion and regularisation

International Journal of Control ◽

10.1080/00207179.2017.1329550 ◽

2017 ◽

Vol 91 (8) ◽

pp. 1757-1773 ◽

Author(s):

Ricardo Castro-Garcia ◽

Koen Tiels ◽

Oscar Mauricio Agudelo ◽

Johan A. K. Suykens

Keyword(s):

System Identification ◽

Linear Approximation ◽

Hammerstein System

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