Optimal input signals for nonlinear-system identification

G.C. Goodwin

doi:10.1049/piee.1971.0183

Optimal input signals for nonlinear-system identification

Proceedings of the Institution of Electrical Engineers ◽

10.1049/piee.1971.0183 ◽

1971 ◽

Vol 118 (7) ◽

pp. 922 ◽

Cited By ~ 22

Author(s):

G.C. Goodwin

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Optimal Input ◽

Input Signals

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MPC based optimal input design for nonlinear system identification

2016 20th International Conference on System Theory, Control and Computing (ICSTCC) ◽

10.1109/icstcc.2016.7790735 ◽

2016 ◽

Cited By ~ 4

Author(s):

Muhammad Zeeshan Babar ◽

Marco Baglietto

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Optimal Input ◽

Input Design ◽

Optimal Input Design

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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 ◽

Anfis Model

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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 ◽

Cited By ~ 13

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 ◽

Cited By ~ 2

Author(s):

Leandro Luttiane S. Linhares ◽

Jose Medeiros de Araujo ◽

Fabio Meneghetti. U. Araujo

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Lower Limb ◽

Nonlinear System Identification ◽

Wavelet Neural Networks ◽

Fuzzy Wavelet Neural Networks

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An optimization procedure for a nonlinear system identification approach based on cubic splines

2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) ◽

10.1109/ecai.2015.7301216 ◽

2015 ◽

Author(s):

Laura Romoli ◽

Stefania Cecchi ◽

Michele Gasparini ◽

Francesco Piazza

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Optimization Procedure ◽

Cubic Splines ◽

Identification Approach

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Nonlinear system identification using two-dimensional wavelet-based state-dependent parameter models

International Journal of Systems Science ◽

10.1080/00207720902985419 ◽

2009 ◽

Vol 40 (11) ◽

pp. 1161-1180 ◽

Cited By ~ 2

Author(s):

Nguyen-Vu Truong ◽

Liuping Wang

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Two Dimensional ◽

State Dependent ◽

Dependent Parameter

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