Auxiliary model-based multi-innovation PSO identification for Wiener–Hammerstein systems with scarce measurements

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104470 ◽

2021 ◽

Vol 106 ◽

pp. 104470

Author(s):

Tiancheng Zong ◽

Junhong Li ◽

Guoping Lu

Keyword(s):

Auxiliary Model ◽

Hammerstein Systems ◽

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Model recovery for Hammerstein systems using the auxiliary model based orthogonal matching pursuit method

Applied Mathematical Modelling ◽

10.1016/j.apm.2017.10.005 ◽

2018 ◽

Vol 54 ◽

pp. 537-550 ◽

Author(s):

Dongqing Wang ◽

Liwei Li ◽

Yan Ji ◽

Yaru Yan

Keyword(s):

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Auxiliary Model ◽

Hammerstein Systems ◽

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Auxiliary Model Based Multi-Innovation Stochastic Gradient Identification Algorithm for Periodically Non-Uniformly Sampled-Data Hammerstein Systems

10.3390/a10030084 ◽

2017 ◽

Vol 10 (3) ◽

pp. 84

Author(s):

Li Xie ◽

Huizhong Yang

Keyword(s):

Stochastic Gradient ◽

Identification Algorithm ◽

Sampled Data ◽

Auxiliary Model ◽

Hammerstein Systems ◽

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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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Modified stochastic gradient estimation algorithms for Box-Jenkins model based on auxiliary model

Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications ◽

10.2991/icmmita-16.2016.231 ◽

2016 ◽

Author(s):

Jianxia Feng

Keyword(s):

Stochastic Gradient ◽

Gradient Estimation ◽

Auxiliary Model ◽

Estimation Algorithms ◽

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Auxiliary model based multi-innovation stochastic gradient identification for multirate multi-input systems

2010 Chinese Control and Decision Conference ◽

10.1109/ccdc.2010.5498958 ◽

2010 ◽

Author(s):

Lili Han ◽

Jie Ding ◽

Feng Ding

Keyword(s):

Stochastic Gradient ◽

Auxiliary Model ◽

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Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems

Nonlinear Dynamics ◽

10.1007/s11071-015-2155-5 ◽

2015 ◽

Vol 82 (1-2) ◽

pp. 269-280 ◽

Author(s):

Xuehai Wang ◽

Feng Ding

Keyword(s):

Stochastic Gradient ◽

Gradient Algorithm ◽

Auxiliary Model ◽

Stochastic Gradient Algorithm ◽

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Auxiliary model based recursive generalized least squares identification algorithm for multivariate output-error autoregressive systems using the decomposition technique

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.07.043 ◽

2018 ◽

Vol 355 (15) ◽

pp. 7643-7663 ◽

Author(s):

Qinyao Liu ◽

Feng Ding ◽

Yan Wang ◽

Cheng Wang ◽

Tasawar Hayat

Keyword(s):

Least Squares ◽

Generalized Least Squares ◽

Identification Algorithm ◽

Decomposition Technique ◽

Auxiliary Model ◽

Output Error ◽

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Auxiliary model based parameter estimation for dual-rate output error systems with colored noise

Applied Mathematical Modelling ◽

10.1016/j.apm.2012.09.016 ◽

2013 ◽

Vol 37 (6) ◽

pp. 4051-4058 ◽

Author(s):

Jie Ding ◽

Chunxia Fan ◽

Jinxing Lin

Keyword(s):

Parameter Estimation ◽

Colored Noise ◽

Auxiliary Model ◽

Output Error ◽

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The auxiliary model based hierarchical gradient algorithms and convergence analysis using the filtering technique

Signal Processing ◽

10.1016/j.sigpro.2016.03.027 ◽

2016 ◽

Vol 128 ◽

pp. 212-221 ◽

Author(s):

Yanjiao Wang ◽

Feng Ding

Keyword(s):

Convergence Analysis ◽

Auxiliary Model ◽

Model Based ◽

Gradient Algorithms ◽

Filtering Technique

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Auxiliary model based recursive generalized least squares parameter estimation for Hammerstein OEAR systems

Mathematical and Computer Modelling ◽

10.1016/j.mcm.2010.03.002 ◽

2010 ◽

Vol 52 (1-2) ◽

pp. 309-317 ◽

Author(s):

Dongqing Wang ◽

Yanyun Chu ◽

Guowei Yang ◽

Feng Ding

Keyword(s):

Parameter Estimation ◽

Least Squares ◽

Generalized Least Squares ◽

Auxiliary Model ◽

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