Search Results - Extended stochastic gradient algorithm

Refine Results
  1. 1

    Hierarchical maximum likelihood generalized extended stochastic gradient algorithms for bilinear‐in‐parameter systems by Liu, Haibo, Wang, Junwei, Meng, Xiangxiang

    ISSN: 0143-2087, 1099-1514
    Published: Glasgow Wiley Subscription Services, Inc 01.03.2022
    Published in Optimal control applications & methods (01.03.2022)
    “…‐in‐parameter system with autoregressive moving average noise. A maximum likelihood multi‐innovation stochastic gradient algorithm is derived to estimate the model…”
    Get full text
    Journal Article
  2. 2

    Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems by Wang, Xuehai, Ding, Feng

    ISSN: 0924-090X, 1573-269X
    Published: Dordrecht Springer Netherlands 01.10.2015
    Published in Nonlinear dynamics (01.10.2015)
    “…This paper focuses on the parameter estimation problem of Box–Jenkins systems. Using the multi-innovation identification theory, an auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm is derived…”
    Get full text
    Journal Article
  3. 3

    State-of-charge estimation with adaptive extended Kalman filter and extended stochastic gradient algorithm for lithium-ion batteries by Ye, Yuanmao, Li, Zhenpeng, Lin, Jingxiong, Wang, Xiaolin

    ISSN: 2352-152X, 2352-1538
    Published: Elsevier Ltd 01.03.2022
    Published in Journal of energy storage (01.03.2022)
    “…•Computing cost is reduced by omitting the step of parameters extraction.•Parameters identification process is conducted by an algorithm of Extended Stochastic Gradient…”
    Get full text
    Journal Article
  4. 4

    Extended stochastic gradient identification algorithms for Hammerstein–Wiener ARMAX systems by Wang, Dongqing, Ding, Feng

    ISSN: 0898-1221, 1873-7668
    Published: Elsevier Ltd 01.12.2008
    “…An extended stochastic gradient algorithm is developed to estimate the parameters of Hammerstein–Wiener ARMAX models…”
    Get full text
    Journal Article
  5. 5

    A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems by Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang

    ISSN: 1598-6446, 2005-4092
    Published: Bucheon / Seoul Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.06.2017
    “…), this paper proposes a filtering based extended stochastic gradient (ESG) algorithm and a filtering based multi-innovation ESG algorithm for improving the parameter estimation accuracy…”
    Get full text
    Journal Article
  6. 6

    Two improved generalized extended stochastic gradient algorithms for CARARMA systems by Lv, Lingling, Zhang, Yulin, Huang, Quanzhen, Wu, Yu

    ISSN: 0016-0032
    Published: Elsevier Inc 01.11.2024
    Published in Journal of the Franklin Institute (01.11.2024)
    “…The paper innovatively proposes two improved generalized extended stochastic gradient (GESG…”
    Get full text
    Journal Article
  7. 7

    A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems by Hu, Yuanbiao, Liu, Baolin, Zhou, Qin

    ISSN: 0096-3003, 1873-5649
    Published: Elsevier Inc 15.11.2014
    Published in Applied mathematics and computation (15.11.2014)
    “…This paper proposes a generalized extended stochastic gradient (GESG) algorithm for estimating the parameters of a class of Wiener nonlinear autoregressive moving average systems using the gradient search…”
    Get full text
    Journal Article
  8. 8

    Multi-innovation Extended Stochastic Gradient Algorithm and Its Performance Analysis by Liu, Yanjun, Yu, Li, Ding, Feng

    ISSN: 0278-081X, 1531-5878
    Published: Boston SP Birkhäuser Verlag Boston 01.08.2010
    Published in Circuits, systems, and signal processing (01.08.2010)
    “…This paper derives the multi-innovation extended stochastic gradient algorithm for controlled autoregressive moving average models by expanding the scalar innovation to an innovation vector…”
    Get full text
    Journal Article
  9. 9

    Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms by Luo, Xin, Wang, Dexian, Zhou, MengChu, Yuan, Huaqiang

    ISSN: 2168-2216, 2168-2232
    Published: New York IEEE 01.02.2021
    “… Stochastic gradient descent (SGD) is a highly efficient algorithm for building an LF model…”
    Get full text
    Journal Article
  10. 10

    Hierarchical multi-innovation generalised extended stochastic gradient methods for multivariable equation-error autoregressive moving average systems by Xu, Ling, Ding, Feng, Lu, Xian, Wan, Lijuan, Sheng, Jie

    ISSN: 1751-8644, 1751-8652
    Published: The Institution of Engineering and Technology 02.07.2020
    Published in IET control theory & applications (02.07.2020)
    “… After the model decomposition, a two-stage generalised extended stochastic gradient (GESG) algorithm is presented in accordance with these two separated submodels…”
    Get full text
    Journal Article
  11. 11

    Filtering based multi-innovation extended stochastic gradient algorithm for Hammerstein nonlinear system modeling by Wang, Ziyun, Wang, Yan, Ji, Zhicheng

    ISSN: 0307-904X
    Published: Elsevier Inc 15.09.2015
    Published in Applied mathematical modelling (15.09.2015)
    “… In order to provide highly accurate parameter estimates and improve the convergence rate, a data filtering based multi-innovation extended stochastic gradient algorithm is presented to estimate…”
    Get full text
    Journal Article
  12. 12

    Partially coupled extended stochastic gradient algorithm for nonlinear multivariable output error moving average systems by Wang, Xuehai, Ding, Feng

    ISSN: 0264-4401, 1758-7077
    Published: Bradford Emerald Publishing Limited 18.04.2017
    Published in Engineering computations (18.04.2017)
    “… Design/methodology/approach A partially coupled extended stochastic gradient algorithm is presented for nonlinear multivariable systems by using the decomposition technique…”
    Get full text
    Journal Article
  13. 13

    Weighted multi-innovation extended stochastic gradient identification for multivariable Hammerstein nonlinear systems based on multi-signal processing by Lyu, Bensheng, Wang, Qiang, Xu, Yanling, Zhang, Huajun, Cai, Chunbo

    ISSN: 0263-2241
    Published: Elsevier Ltd 01.08.2025
    “… By combining the multi-innovation theory with the weight matrix, a weighted multi-innovation extended stochastic gradient algorithm with a forgetting factor is presented to estimate the parameters…”
    Get full text
    Journal Article
  14. 14

    Hierarchical multi-innovation extended stochastic gradient algorithms for input nonlinear multivariable OEMA systems by the key-term separation principle by Shen, Qianyan, Ding, Feng

    ISSN: 0924-090X, 1573-269X
    Published: Dordrecht Springer Netherlands 01.07.2016
    Published in Nonlinear dynamics (01.07.2016)
    “… Thus, a hierarchical extended stochastic gradient (H-ESG) algorithm is given and a hierarchical multi-innovation extended stochastic gradient (H-MI-ESG…”
    Get full text
    Journal Article
  15. 15

    Hierarchical gradient parameter estimation algorithms for fractional order Wiener OEARMA system by Li, Junhong, Zhang, Hongrui, Xiao, Kang, Gu, Juping

    ISSN: 0924-090X, 1573-269X
    Published: Dordrecht Springer Nature B.V 01.08.2025
    Published in Nonlinear dynamics (01.08.2025)
    “… Then, the hierarchical extended stochastic gradient (H-ESG) and hierarchical multi-innovation extended stochastic gradient (H-MIESG…”
    Get full text
    Journal Article
  16. 16

    Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems by Luo, Xin, Zhou, MengChu

    ISSN: 2377-3766, 2377-3766
    Published: Piscataway IEEE 01.04.2019
    Published in IEEE robotics and automation letters (01.04.2019)
    “…) analysis is highly efficient in grasping these patterns. Stochastic gradient descent (SGD) is a widely adopted algorithm to train an LF model…”
    Get full text
    Journal Article
  17. 17

    Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique by Liu, Qinyao, Ding, Feng, Xu, Ling, Yang, Erfu

    ISSN: 1751-8644, 1751-8652
    Published: The Institution of Engineering and Technology 26.03.2019
    Published in IET control theory & applications (26.03.2019)
    “… into a filtered system with white noises. Then the filtered system is decomposed into several subsystems and a filtering-based partially-coupled generalised extended stochastic gradient algorithm is developed via the coupling concept…”
    Get full text
    Journal Article
  18. 18

    Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms by Li, Junhong, Zhang, Hongrui, Gu, Juping, Hua, Liang

    ISSN: 1561-8625, 1934-6093
    Published: Hoboken Wiley Subscription Services, Inc 01.11.2023
    Published in Asian journal of control (01.11.2023)
    “…s. This paper studies the parameter identification of the fractional‐order Wiener system. In this paper, the forgetting factor extended stochastic gradient (FF‐ESG…”
    Get full text
    Journal Article
  19. 19
  20. 20