A Non-Linear MIMO System Identification Approach Based on the Multiple Maximal Correlation Technique

Mapping Intimacies ◽

10.1109/rusautocon52004.2021.9537504 ◽

2021 ◽

Author(s):

Kirill Chernyshov

Keyword(s):

System Identification ◽

Mimo System ◽

Correlation Technique ◽

Maximal Correlation ◽

Identification Approach

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A system identification approach to the detection of changes in both linear and non-linear structural parameters

Earthquake Engineering & Structural Dynamics ◽

10.1002/eqe.4290240107 ◽

1995 ◽

Vol 24 (1) ◽

pp. 85-97 ◽

Author(s):

Chin-Hsiung Loh ◽

Iat-Chun Tou

Keyword(s):

System Identification ◽

Structural Parameters ◽

Identification Approach

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A system identification approach to the detection of changes in both linear and non-linear structural parameters

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts ◽

10.1016/0148-9062(95)99291-5 ◽

1995 ◽

Vol 32 (6) ◽

pp. A288

Keyword(s):

System Identification ◽

Structural Parameters ◽

Identification Approach

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Multi-objective evolutionary framework for non-linear system identification: A comprehensive investigation

Neurocomputing ◽

10.1016/j.neucom.2019.12.095 ◽

2020 ◽

Vol 386 ◽

pp. 257-280 ◽

Author(s):

Faizal Hafiz ◽

Akshya Swain ◽

Eduardo Mendes

Keyword(s):

System Identification ◽

Linear System ◽

Comprehensive Investigation ◽

Multi Objective ◽

Linear System Identification ◽

Non Linear System

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Experiment design considerations for non-linear system identification using neural networks

Computers & Chemical Engineering ◽

10.1016/s0098-1354(96)00003-8 ◽

1997 ◽

Vol 21 (3) ◽

pp. 327-346 ◽

Author(s):

S.K. Doherty ◽

J.B. Gomm ◽

D. Williams

Keyword(s):

Neural Networks ◽

System Identification ◽

Linear System ◽

Experiment Design ◽

Design Considerations ◽

Linear System Identification ◽

Non Linear System

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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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Evaluating longitudinal vibration characteristics of bonded strands embedded in prestressed concrete beams by a system identification approach

Composites Part B Engineering ◽

10.1016/j.compositesb.2011.08.008 ◽

2012 ◽

Vol 43 (3) ◽

pp. 1531-1537 ◽

Author(s):

Byeong Hwa Kim ◽

Jung Bum Jang ◽

Hong Pyo Lee ◽

Do Hyung Lee

Keyword(s):

System Identification ◽

Prestressed Concrete ◽

Concrete Beams ◽

Longitudinal Vibration ◽

Vibration Characteristics ◽

Identification Approach

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A research about a MIMO system identification algorithm based on ANN using slide mode variable structure

2011 Chinese Control and Decision Conference (CCDC) ◽

10.1109/ccdc.2011.5968817 ◽

2011 ◽

Author(s):

Yahui Wang ◽

Peixin Cheng ◽

Zhifeng Xia

Keyword(s):

System Identification ◽

Mimo System ◽

Variable Structure ◽

Identification Algorithm

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Continuous time non-linear system identification in the frequency domain

International Journal of Control ◽

10.1080/00207170110052239 ◽

2001 ◽

Vol 74 (11) ◽

pp. 1052-1061 ◽

Author(s):

L. M. Li ◽

S. A. Billings

Keyword(s):

System Identification ◽

Linear System ◽

Frequency Domain ◽

Continuous Time ◽

Linear System Identification ◽

Non Linear System

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Integration of support vector regression and annealing dynamical learning algorithm for MIMO system identification

Expert Systems with Applications ◽

10.1016/j.eswa.2011.05.078 ◽

2011 ◽

Vol 38 (12) ◽

pp. 15224-15233 ◽

Author(s):

Chia-Nan Ko

Keyword(s):

System Identification ◽

Support Vector Regression ◽

Learning Algorithm ◽

Mimo System ◽

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Source separation: A TITO system identification approach

Signal Processing ◽

10.1016/s0165-1684(98)00191-1 ◽

1999 ◽

Vol 73 (1-2) ◽

pp. 169-183 ◽

Author(s):

Holger Broman ◽

Ulf Lindgren ◽

Henrik Sahlin ◽

Petre Stoica

Keyword(s):

System Identification ◽

Source Separation ◽

Identification Approach

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