Výsledky vyhledávání - "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

Autoři: Die Gan Ren Yan Shuning Chen a další

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

Témata: 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

Popis souboru: application/xml

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

Autoři: Xuehai Wang Feng Ding

Zdroj: Engineering Computations. 34:629-647

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

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

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

Autoři: Xiangkui Wan Xiao Jiang Jian Pan a další

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

Témata: 0209 industrial biotechnology, 02 engineering and technology

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

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

Autoři: Xiao Jiang Feng Ding Xiangkui Wan a další

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

Témata: 0209 industrial biotechnology, 02 engineering and technology

Přístupová URL adresa: 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

Autoři: Wei Wang

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9789811504730

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

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

Autoři: Yan Wang Ziyun Wang Zhicheng Ji

Zdroj: Applied Mathematical Modelling. 39:5724-5732

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

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

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

Autoři: Feng Ding Xuehai Wang

Zdroj: Nonlinear Dynamics. 82:269-280

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

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

Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis

Autoři: Yanjun Liu Feng Ding Li Yu

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

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

Přístupová URL adresa: 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

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

Autoři: Hu Yuanbiao Baolin Liu Qin Zhou

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

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

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

Autoři: Zhenpeng Li Jingxiong Lin Xiaolin Wang a další

Zdroj: Journal of Energy Storage. 47:103611

Témata: 01 natural sciences, 7. Clean energy, 0104 chemical sciences

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

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

Autoři: Jing Chen Xiuping Wang

Zdroj: Lecture Notes in Computer Science ISBN: 9783642156205

Přístupová URL adresa: 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

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

Autoři: Wei, Chun Liu, Yanjun Ding, Feng

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

Témata: 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

Popis souboru: application/xml

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

Hierarchical extended parameter identification methods and convergence for finite impulse response moving average models based on the hierarchical identification principle.

Autoři: Ding, Feng Xu, Ling Zhang, Xiao a další

Zdroj: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems & Control Engineering; Nov2025, Vol. 239 Issue 10, p1719-1746, 28p

Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis.

Autoři: Liu, Yanjun Yu, Li Ding, Feng

Zdroj: Circuits, Systems & Signal Processing; Aug2010, Vol. 29 Issue 4, p649-667, 19p

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

Autoři: Lyu, Bensheng Wang, Qiang Xu, Yanling a další

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

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

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

Autoři: Wang, Xuehai Ding, Feng

Zdroj: Engineering Computations; 2017, Vol. 34 Issue 2, p629-647, 19p

Témata: MOVING average process, PARAMETER estimation, NONLINEAR systems, MATHEMATICAL decomposition, STOCHASTIC systems

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

Autoři: Wang, Xuehai Ding, Feng

Zdroj: Nonlinear Dynamics; Oct2015, Vol. 82 Issue 1/2, p269-280, 12p

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

Autoři: Chen, Jing Wang, Xiuping

Zdroj: Life System Modeling & Intelligent Computing (9783642156205); 2010, p136-146, 11p

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

Autoři: Pan, Jian Jiang, Xiao Wan, Xiangkui a další

Zdroj: International Journal of Control, Automation & Systems; Jun2017, Vol. 15 Issue 3, p1189-1197, 9p

Maximum Likelihood Multi-innovation Stochastic Gradient Estimation for Multivariate Equation-error Systems.

Autoři: Liu, Lijuan Ding, Feng Wang, Cheng a další

Zdroj: International Journal of Control, Automation & Systems; Oct2018, Vol. 16 Issue 5, p2528-2537, 10p