A Recursive and Robust Identification Method for a Class of Nonlinear Systems

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)43372-6 ◽

1997 ◽

Vol 30 (6) ◽

pp. 245-250 ◽

Author(s):

M. Boutayeb ◽

M. Darouach

Keyword(s):

Nonlinear Systems ◽

Robust Identification ◽

Identification Method

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A Hierarchical Attack Identification Method for Nonlinear Systems

2020 59th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc42340.2020.9304231 ◽

2020 ◽

Author(s):

Sarah Braun ◽

Sebastian Albrecht ◽

Sergio Lucia

Keyword(s):

Nonlinear Systems ◽

Identification Method

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Robust Identification of Nonlinear Systems With Missing Observations: The Case of State-Space Model Structure

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2018.2871194 ◽

2019 ◽

Vol 15 (5) ◽

pp. 2763-2774 ◽

Author(s):

Xianqiang Yang ◽

Xin Liu ◽

Shen Yin

Keyword(s):

Nonlinear Systems ◽

State Space ◽

State Space Model ◽

Model Structure ◽

Missing Observations ◽

Robust Identification ◽

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Dynamic neural network-based robust identification and control of a class of nonlinear systems

49th IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2010.5717445 ◽

2010 ◽

Author(s):

H. Dinh ◽

S. Bhasin ◽

W. E. Dixon

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Dynamic Neural Network ◽

Robust Identification ◽

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An iterative approach to determine the complexity of local models for robust identification of nonlinear systems

International Journal of Control Automation and Systems ◽

10.1007/s12555-012-0101-6 ◽

2012 ◽

Vol 10 (1) ◽

pp. 1-10 ◽

Author(s):

Salman Ahmadi ◽

Mehdi Karrari

Keyword(s):

Nonlinear Systems ◽

Iterative Approach ◽

Local Models ◽

Robust Identification

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Robust identification for singularly perturbed nonlinear systems using multi-time-scale dynamic neural network

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

10.1109/cdc.2017.8264637 ◽

2017 ◽

Author(s):

Dong-Dong Zheng ◽

Wen-Fang Xie ◽

Chaomin Luo

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Singularly Perturbed ◽

Dynamic Neural Network ◽

Robust Identification

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A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2020.106838 ◽

2020 ◽

Vol 138 ◽

pp. 106838

Author(s):

Jiaorao Wang ◽

Chunyue Song ◽

Jun Zhao ◽

Zuhua Xu

Keyword(s):

Nonlinear Systems ◽

Hierarchical Clustering ◽

Model Identification ◽

Identification Method

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Non-Parametric Identification Method of Volterra Kernels for Nonlinear Systems Excited by Multitone Signal

Asian Journal of Control ◽

10.1002/asjc.729 ◽

2013 ◽

Vol 16 (2) ◽

pp. 519-529 ◽

Author(s):

H. T. Han ◽

H. G. Ma ◽

L. N. Tan ◽

J. F. Cao ◽

J. L. Zhang

Keyword(s):

Nonlinear Systems ◽

Parametric Identification ◽

Volterra Kernels ◽

Identification Method ◽

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Identification method of nonlinear systems with friction based on Genetic Algorithm

2010 Third International Symposium on Knowledge Acquisition and Modeling ◽

10.1109/kam.2010.5646331 ◽

2010 ◽

Author(s):

Kenji Nakajima ◽

Jun Nakajima ◽

Truong Van Khoa ◽

Seiji Hashimoto

Keyword(s):

Genetic Algorithm ◽

Nonlinear Systems ◽

Identification Method

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Robust identification method for nonlinear model structures and its application to high-performance aircraft

International Journal of Systems Science ◽

10.1080/00207721.2011.652225 ◽

2013 ◽

Vol 44 (6) ◽

pp. 1040-1051 ◽

Author(s):

Zhong-Ke Shi ◽

Fang-Xiang Wu

Keyword(s):

Nonlinear Model ◽

High Performance ◽

Robust Identification ◽

Identification Method ◽

Model Structures ◽

High Performance Aircraft

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Identification method for a class of periodic discrete-time dynamic nonlinear systems based on Sinusoidal ESN

Neurocomputing ◽

10.1016/j.neucom.2017.09.092 ◽

2018 ◽

Vol 275 ◽

pp. 1511-1521 ◽

Author(s):

Xianshuang Yao ◽

Zhanshan Wang ◽

Huaguang Zhang

Keyword(s):

Nonlinear Systems ◽

Discrete Time ◽

Time Dynamic ◽

Identification Method

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