Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5576 ◽

2021 ◽

Author(s):

Qilin Liu ◽

Yongsong Xiao ◽

Feng Ding ◽

Tasawar Hayat

Keyword(s):

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Forgetting Factor ◽

Uniform Sampling ◽

Stochastic Gradient Algorithm ◽

Non Uniform Sampling

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Time-varying Forgetting Factor Stochastic Gradient Algorithm for Nonlinear Systems with Color Noise

Universal Journal of Control and Automation ◽

10.13189/ujca.2017.050301 ◽

2017 ◽

Vol 5 (3) ◽

pp. 43-48

Author(s):

Chunming Xu

Keyword(s):

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Time Varying ◽

Forgetting Factor ◽

Color Noise ◽

Stochastic Gradient Algorithm

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Auxiliary Model-Based Forgetting Factor Stochastic Gradient Algorithm for Dual-Rate Nonlinear Systems and its Application to a Nonlinear Analog Circuit

Circuits Systems and Signal Processing ◽

10.1007/s00034-013-9733-x ◽

2014 ◽

Vol 33 (6) ◽

pp. 1957-1969 ◽

Author(s):

Xiangli Li ◽

Lincheng Zhou ◽

Ruifeng Ding

Keyword(s):

Nonlinear Systems ◽

Analog Circuit ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Forgetting Factor ◽

Auxiliary Model ◽

Stochastic Gradient Algorithm ◽

Model Based ◽

Nonlinear Analog

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Forgetting factor multi-error stochastic gradient algorithm based on minimum error entropy

2020 2nd International Conference on Industrial Artificial Intelligence (IAI) ◽

10.1109/iai50351.2020.9262232 ◽

2020 ◽

Author(s):

Shaoxue Jing

Keyword(s):

Stochastic Gradient ◽

Gradient Algorithm ◽

Forgetting Factor ◽

Minimum Error ◽

Stochastic Gradient Algorithm

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A novel data filtering based multi-innovation stochastic gradient algorithm for Hammerstein nonlinear systems

Digital Signal Processing ◽

10.1016/j.dsp.2015.07.002 ◽

2015 ◽

Vol 46 ◽

pp. 215-225 ◽

Author(s):

Yawen Mao ◽

Feng Ding

Keyword(s):

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Data Filtering ◽

Stochastic Gradient Algorithm

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Parameter Identification of Nonlinear Systems with Time-delay Based on the Multi-innovation Stochastic Gradient Algorithm

Universal Journal of Control and Automation ◽

10.13189/ujca.2019.070101 ◽

2019 ◽

Vol 7 (1) ◽

pp. 1-6

Author(s):

Chunming Xu

Keyword(s):

Nonlinear Systems ◽

Parameter Identification ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Stochastic Gradient Algorithm

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A novel maximum likelihood-based stochastic gradient algorithm for Hammerstein nonlinear systems with coloured noise

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2019.10023539 ◽

2019 ◽

Vol 32 (1) ◽

pp. 23

Author(s):

Yan Pu ◽

Jing Chen

Keyword(s):

Maximum Likelihood ◽

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Coloured Noise ◽

Stochastic Gradient Algorithm

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Stochastic gradient algorithm for dual-rate sampled data nonlinear systems based on the missing outputs identification model

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6896096 ◽

2014 ◽

Author(s):

Jing Chen ◽

Hongfen Zou

Keyword(s):

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Sampled Data ◽

Stochastic Gradient Algorithm ◽

Identification Model

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Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2016.07.025 ◽

2016 ◽

Vol 353 (16) ◽

pp. 4280-4299 ◽

Author(s):

Junxia Ma ◽

Weili Xiong ◽

Feng Ding ◽

Ahmed Alsaedi ◽

Tasawar Hayat

Keyword(s):

Stochastic Gradient ◽

Gradient Algorithm ◽

Data Filtering ◽

Forgetting Factor ◽

Hammerstein Systems ◽

Stochastic Gradient Algorithm

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A novel maximum likelihood-based stochastic gradient algorithm for Hammerstein nonlinear systems with coloured noise

International Journal of Modelling Identification and Control ◽

10.1504/ijmic.2019.101968 ◽

2019 ◽

Vol 32 (1) ◽

pp. 23 ◽

Author(s):

Yan Pu ◽

Jing Chen

Keyword(s):

Maximum Likelihood ◽

Nonlinear Systems ◽

Stochastic Gradient ◽

Gradient Algorithm ◽

Coloured Noise ◽

Stochastic Gradient Algorithm

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Auxiliary Model-based Stochastic Gradient Algorithm for Multivariable Output Error Systems

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2010.00993 ◽

2010 ◽

Vol 36 (7) ◽

pp. 993-998 ◽

Author(s):

Feng DING ◽

Xiao-Ping LIU

Keyword(s):

Stochastic Gradient ◽

Gradient Algorithm ◽

Auxiliary Model ◽

Stochastic Gradient Algorithm ◽

Output Error ◽

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