Application of higher order spectral analysis to cubically nonlinear system identification

IEEE Transactions on Signal Processing ◽

10.1109/78.298282 ◽

1994 ◽

Vol 42 (7) ◽

pp. 1746-1765 ◽

Author(s):

S.W. Nam ◽

E.J. Powers

Keyword(s):

Spectral Analysis ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

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Utilization of conditioned higher-order spectra for nonlinear system identification

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.226575 ◽

1992 ◽

Author(s):

S.B. Kim ◽

E.J. Powers

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Higher Order ◽

Higher Order Spectra

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A general procedure for nonlinear system identification using higher order statistics

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) ◽

10.1109/icassp.2000.862041 ◽

2002 ◽

Author(s):

M.E. Celebi

Keyword(s):

System Identification ◽

Nonlinear System ◽

Order Statistics ◽

General Procedure ◽

Nonlinear System Identification ◽

Higher Order ◽

Higher Order Statistics

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Nonlinear System Identification of Composite Plates with Higher-Order Spectra: Numerical Analyses and Experimental Tests

52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference ◽

10.2514/6.2011-2068 ◽

2011 ◽

Author(s):

Michele Pasquali ◽

Walter Lacarbonara ◽

Pier Marzocca

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Composite Plates ◽

Experimental Tests ◽

Higher Order ◽

Numerical Analyses ◽

Higher Order Spectra

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Nonlinear system identification in presence of nuisance parameters

2003 European Control Conference (ECC) ◽

10.23919/ecc.2003.7085286 ◽

2003 ◽

Author(s):

N. Ramdani ◽

T. Poinot

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Nuisance Parameters

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Nonlinear System Identification and Structural Health Monitoring of Bridges Through the Use of Reduced-Order Models

IABSE Symposium Report ◽

10.2749/222137801796350365 ◽

2001 ◽

Vol 84 (6) ◽

pp. 31-37

Author(s):

Andrew Smyth ◽

Sami Masri

Keyword(s):

System Identification ◽

Structural Health Monitoring ◽

Nonlinear System ◽

Health Monitoring ◽

Nonlinear System Identification ◽

Reduced Order Models ◽

Reduced Order ◽

Structural Health

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Development of a Data-driven ANFIS Model by using a PSO-LSE Method for Nonlinear System Identification

Intelligent Automation & Soft Computing ◽

10.31209/2019.100000093 ◽

2019 ◽

pp. -1--1

Author(s):

Ching-Yi Chen ◽

Yi-Jen Lin

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Data Driven ◽

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Characteristic nonlinear system identification of local attachments with clearance nonlinearities

Nonlinear Dynamics ◽

10.1007/s11071-020-06004-8 ◽

2020 ◽

Vol 102 (3) ◽

pp. 1667-1684

Author(s):

Aryan Singh ◽

Keegan J. Moore

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification

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Nonlinear System Identification of Cortical Response in EEG Elicits by Wrist Manipulation

2020 17th International Multi-Conference on Systems, Signals & Devices (SSD) ◽

10.1109/ssd49366.2020.9364085 ◽

2020 ◽

Author(s):

Ibrahim A. Aljamaan

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Cortical Response

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Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification

Neural Processing Letters ◽

10.1007/s11063-012-9218-0 ◽

2012 ◽

Vol 35 (3) ◽

pp. 283-300 ◽

Author(s):

Juan Cordova ◽

Wen Yu

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Haar Wavelet ◽

Wavelet Neural Networks

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Nonlinear system identification of a lower limb model by Fuzzy Wavelet Neural Networks

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2013.6699712 ◽

2013 ◽

Author(s):

Leandro Luttiane S. Linhares ◽

Jose Medeiros de Araujo ◽

Fabio Meneghetti. U. Araujo

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Wavelet Neural Networks ◽

Fuzzy Wavelet Neural Networks

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