Robust hierarchical identification of Wiener systems in the presence of dynamic disturbances

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2020.02.009 ◽

2020 ◽

Vol 357 (6) ◽

pp. 3809-3834 ◽

Author(s):

Shijian Dong ◽

Li Yu ◽

Wen-An Zhang ◽

Bo Chen

Keyword(s):

Hierarchical Identification ◽

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A direct approach to identify closed loop Wiener systems, whose linear dynamics are open-loop unstable

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384069 ◽

2004 ◽

Author(s):

Yong Zhao ◽

D. Westwick

Keyword(s):

Closed Loop ◽

Open Loop ◽

Direct Approach ◽

Linear Dynamics ◽

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Modeling optical variables in combustion processes by Hammerstein-Wiener systems

2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA) ◽

10.1109/icaacca51523.2021.9465247 ◽

2021 ◽

Author(s):

Hugo O. Garces ◽

Eduardo Espinosa ◽

Alejandro J. Rojas ◽

Gonzalo Carvajal

Keyword(s):

Wiener Systems ◽

Combustion Processes

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Recursive identification of time-varying Wiener systems with polynomial non-linearities

International Journal of Automation and Control ◽

10.1504/ijaac.2008.020421 ◽

2008 ◽

Vol 2 (1) ◽

pp. 90 ◽

Author(s):

Jozef Voros

Keyword(s):

Recursive Identification ◽

Time Varying ◽

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Identification of wiener systems : the least amount of a priori information

2007 Mediterranean Conference on Control & Automation ◽

10.1109/med.2007.4433803 ◽

2007 ◽

Author(s):

Er-Wei Bai ◽

John Reyland

Keyword(s):

A Priori ◽

A Priori Information ◽

Wiener Systems ◽

Priori Information

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Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

10.1016/j.automatica.2007.08.001 ◽

2008 ◽

Vol 44 (4) ◽

pp. 910-919 ◽

Author(s):

Er-Wei Bai ◽

John Reyland

Keyword(s):

A Priori ◽

A Priori Information ◽

Wiener Systems ◽

Priori Information

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Compound Operator Decomposition and Its Application to Hammerstein and Wiener Systems

Lecture Notes in Control and Information Sciences - Block-oriented Nonlinear System Identification ◽

10.1007/978-1-84996-513-2_4 ◽

2010 ◽

pp. 35-51 ◽

Author(s):

Jozef Vörös

Keyword(s):

Wiener Systems ◽

Operator Decomposition

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IDENTIFICATION OF HAMMERSTEIN-WIENER SYSTEMS WITH BACKLASH INPUT NONLINEARITY BORDERED BY STRAIGHT LINES

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.00678 ◽

2014 ◽

Vol 47 (3) ◽

pp. 475-480 ◽

Author(s):

A. Brouri ◽

F. Giri ◽

F. Ikhouane ◽

F.Z. Chaoui ◽

O. Amdouri

Keyword(s):

Input Nonlinearity ◽

Wiener Systems ◽

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Identifying MIMO Wiener systems using subspace model identification methods

Signal Processing ◽

10.1016/0165-1684(96)00056-4 ◽

1996 ◽

Vol 52 (2) ◽

pp. 235-258 ◽

Author(s):

David Westwick ◽

Michel Verhaegen

Keyword(s):

Model Identification ◽

Identification Methods ◽

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On the identification of Wiener systems with polynomial nonlinearity

2017 IEEE 56th Annual Conference on Decision and Control (CDC) ◽

10.1109/cdc.2017.8264635 ◽

2017 ◽

Author(s):

Giulio Bottegai ◽

Ricardo Castro-Garcia ◽

Johan A. K. Suykens

Keyword(s):

Polynomial Nonlinearity ◽

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<i>Tree-based Deep Convolutional Neural Network for Hierarchical Identification of Low-resolution Insect Images</i>

10.13031/aim.202100437 ◽

2021 ◽

Author(s):

Dan Jeric Arcega Rustia ◽

Ya-Fang Wu ◽

Pei-Yu Shih ◽

Sheng-Kuan Chen ◽

Jui-Yung Chung ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Deep Convolutional Neural Network ◽

Low Resolution ◽

Hierarchical Identification

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