Search Results - Extended stochastic gradient algorithm

Distributed Extended Stochastic Gradient Algorithm for Joint Identification of System Parameters and Noise Model Parameters: Distributed extended stochastic gradient algorithm for joint identification of system parameters and noise model parameters

Authors: Die Gan Ren Yan Shuning Chen et al.

Source: SIAM Journal on Control and Optimization. 63:650-675

Subject Terms: distributed identification, ARMAX model, colored noise, Randomized algorithms, Networked control, stochastic gradient algorithm, Stochastic systems in control theory (general), almost sure convergence, System identification, sensor network

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Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems

Authors: Wei, Chun Liu, Yanjun Ding, Feng

Source: Journal of the Franklin Institute. 359:10145-10171

Subject Terms: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, feedback nonlinear equation-error systems, extended stochastic gradient algorithm, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, 02 engineering and technology, Feedback control, parameter estimation

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Access URL: https://zbmath.org/7617730
https://doi.org/10.1016/j.jfranklin.2022.08.045

A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems

Authors: Xiangkui Wan Xiao Jiang Jian Pan et al.

Source: International Journal of Control, Automation and Systems. 15:1189-1197

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002225326
https://link.springer.com/article/10.1007/s12555-016-0081-z

Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems

Authors: Xuehai Wang Feng Ding

Source: Engineering Computations. 34:629-647

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.emerald.com/insight/content/doi/10.1108/EC-05-2015-0126/full/html

Extended stochastic gradient identification algorithms for Hammerstein–Wiener ARMAX systems

Authors: Dongqing Wang Feng Ding

Source: Computers & Mathematics with Applications. 56:3157-3164

Subject Terms: Computational Mathematics, 0209 industrial biotechnology, Computational Theory and Mathematics, Forgetting factor, Modelling and Simulation, Parameter estimation, Stochastic gradient, 0202 electrical engineering, electronic engineering, information engineering, Convergence properties, 02 engineering and technology, Hammerstein–Wiener systems

Access URL: https://www.infona.pl/resource/bwmeta1.element.elsevier-67dba2e1-00a6-3c27-a6b8-c7b3d76ce082
https://dblp.uni-trier.de/db/journals/cma/cma56.html#WangD08
https://doi.org/10.1016/j.camwa.2008.07.015
https://www.mendeley.com/catalogue/0939b267-ab7d-3614-8079-e0f12800b019/
https://core.ac.uk/display/81118424
https://www.sciencedirect.com/science/article/pii/S089812210800432X

Multi-innovation extended stochastic gradient algorithm for multi-input multi-output controlled autoregressive moving average systems by using the filtering technique

Authors: Xiao Jiang Feng Ding Xiangkui Wan et al.

Source: 2016 American Control Conference (ACC). :925-929

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/abstract/document/7525033
https://dblp.uni-trier.de/db/conf/amcc/acc2016.html#JiangPWD16

Generalized Extended Stochastic Gradient Algorithm Implemented Parameter Identification for Complex Multivariable-Systems

Authors: Wei Wang

Source: Lecture Notes in Electrical Engineering ISBN: 9789811504730

Access URL: https://link.springer.com/chapter/10.1007%2F978-981-15-0474-7_62

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

Authors: Feng Ding Xuehai Wang

Source: Nonlinear Dynamics. 82:269-280

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 6. Clean water

Access URL: https://link.springer.com/article/10.1007/s11071-015-2155-5/fulltext.html
https://link.springer.com/article/10.1007/s11071-015-2155-5

Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling

Authors: Yan Wang Ziyun Wang Zhicheng Ji

Source: Applied Mathematical Modelling. 39:5724-5732

Subject Terms: 2. Zero hunger, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Access URL: https://www.sciencedirect.com/science/article/pii/S0307904X13004186
https://www.sciencedirect.com/science/article/abs/pii/S0307904X13004186

A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems

Authors: Hu Yuanbiao Baolin Liu Qin Zhou

Source: Applied Mathematics and Computation. 247:218-224

Subject Terms: 0209 industrial biotechnology, 0103 physical sciences, 02 engineering and technology, 01 natural sciences, 3. Good health

Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis

Authors: Yanjun Liu Feng Ding Li Yu

Source: Circuits, Systems and Signal Processing. 29:649-667

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dblp.uni-trier.de/db/journals/cssp/cssp29.html#LiuYD10
https://link.springer.com/article/10.1007/s00034-010-9174-8
https://link.springer.com/content/pdf/10.1007%2Fs00034-010-9174-8.pdf
https://doi.org/10.1007/s00034-010-9174-8
http://doi.org/10.1007/s00034-010-9174-8

State-of-charge estimation with adaptive extended Kalman filter and extended stochastic gradient algorithm for lithium-ion batteries

Authors: Zhenpeng Li Jingxiong Lin Xiaolin Wang et al.

Source: Journal of Energy Storage. 47:103611

Subject Terms: 01 natural sciences, 7. Clean energy, 0104 chemical sciences

Access URL: https://www.sciencedirect.com/science/article/pii/S2352152X21012895

On consistency of multi-innovation extended stochastic gradient algorithms with colored noises

Authors: Peter X. Liu Li Yu Feng Ding

Source: 2008 IEEE Instrumentation and Measurement Technology Conference. :1695-1700

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004547317
https://ieeexplore.ieee.org/document/4547317/

Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing.

Authors: Lyu, Bensheng Wang, Qiang Xu, Yanling et al.

Source: Measurement (02632241). Aug2025, Vol. 252, pN.PAG-N.PAG. 1p.

Subject Terms: *PARAMETER estimation, *SYSTEM identification, *NONLINEAR systems, *COMPUTER performance, *SIGNAL processing

Hierarchical multi‐innovation generalised extended stochastic gradient methods for multivariable equation‐error autoregressive moving average systems

Authors: Ling Xu Feng Ding Xian Lu et al.

Source: IET Control Theory & Applications. 14:1276-1286

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, identification, stochastic processes, 02 engineering and technology, gradient methods, autoregressive moving average processes

Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cta.2019.0731
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2019.0731
https://digitalcommons.tacoma.uw.edu/tech_pub/420/
https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2019.0731
https://works.bepress.com/j-sheng/3/
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0731

Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity

Authors: Ximei Liu Yamin Fan

Source: International Journal of Robust and Nonlinear Control. 31:4017-4036

Subject Terms: 0209 industrial biotechnology, 02 engineering and technology

Access URL: https://onlinelibrary.wiley.com/doi/10.1002/rnc.5450

Extended Stochastic Gradient Algorithms for System Modeling Based on the Auxiliary Model

Authors: Chuangye Luan Dongqing Wang

Source: 2008 IEEE International Conference on Networking, Sensing and Control. :1770-1772

Subject Terms: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Access URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004525510
https://dblp.uni-trier.de/db/conf/icnsc/icnsc2008.html#WangL08a

Multi-innovation Generalized Extended Stochastic Gradient Algorithm for Multi-Input Multi-Output Nonlinear Box-Jenkins Systems Based on the Auxiliary Model

Authors: Jing Chen Xiuping Wang

Source: Lecture Notes in Computer Science ISBN: 9783642156205

Access URL: https://rd.springer.com/chapter/10.1007/978-3-642-15621-2_17
https://dblp.uni-trier.de/db/conf/lsms/lsms2010-1.html#ChenW10
https://link.springer.com/chapter/10.1007%2F978-3-642-15621-2_17

The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory

Authors: Feng Ding Lijuan Wan Yunze Guo et al.

Source: Journal of the Franklin Institute. 357:5591-5609

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S001600322030209X
https://dblp.uni-trier.de/db/journals/jfi/jfi357.html#DingWGC20

Recasted models‐based hierarchical extended stochastic gradient method for MIMO nonlinear systems: Recasted models-based hierarchical extended stochastic gradient method for MIMO nonlinear systems

Authors: Dongqing Wang Li Mao Feng Ding

Source: IET Control Theory & Applications. 11:476-485

Subject Terms: computational load, 0209 industrial biotechnology, scalar coefficients, 02 engineering and technology, nonlinear parameters, nonlinear control systems, regression analysis, MIMO systems, hierarchical systems, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, Stochastic systems in control theory (general), System identification, identification model, linear systems, Multivariable systems, multidimensional control systems, matrix algebra, hierarchical identification principle, nonlinear MIMO Hammerstein system, Hierarchical systems, recasted model-based hierarchical extended stochastic gradient method, matrix coefficient, nonlinear multiinput multioutput Hammerstein systems, linear parameters, stochastic processes, nonlinear implement Hammerstein systems, parameter estimation, matrix transformation, over-parametrisation regression identification model, gradient methods

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Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2016.0017
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.0017
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cta.2016.0017