Suchergebnisse - Adaptive forgetting factor recursive least square algorithm

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  1. 1

    Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery von Sun, Xiangdong, Ji, Jingrun, Ren, Biying, Xie, Chenxue, Yan, Dan

    ISSN: 1996-1073, 1996-1073
    Veröffentlicht: Basel MDPI AG 12.06.2019
    Veröffentlicht in Energies (Basel) (12.06.2019)
    “… An adaptive expression of the variable forgetting factor is constructed. An adaptive forgetting factor recursive least square (AFFRLS …”
    Volltext
    Journal Article
  2. 2

    The novel methods of insulation detection based on Adaptive Levenberg–Marquardt algorithm and Third-Order Variable Forgetting Factor Recursive Least Squares-Decouple algorithm von Ruan, Dong, Cui, Xiangyu, He, Zhicheng, Gao, Hui

    ISSN: 0360-5442
    Veröffentlicht: Elsevier Ltd 15.12.2024
    Veröffentlicht in Energy (Oxford) (15.12.2024)
    “… ) algorithm is proposed to prevent the divergence typically seen in traditional approaches. Additionally, a decoupling algorithm utilizing a Third-order Variable Forgetting Factor Recursive Least Squares (TVFF-Decouple …”
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    Journal Article
  3. 3

    Directional and adaptive forgetting factor based recursive least square algorithms for maneuvering dynamic identification and motion prediction of unmanned surface vessel von Tan, Mu, Xiang, Gong, Xiang, Xianbo, Yu, Shuhang, Rao, Kunpeng, Soares, Carlos Guedes

    ISSN: 0029-8018
    Veröffentlicht: Elsevier Ltd 30.12.2025
    Veröffentlicht in Ocean engineering (30.12.2025)
    “… : directional forgetting recursive least squares algorithm (DFFRLS) and adaptive forgetting recursive least squares algorithm (AFFRLS) are proposed …”
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    Journal Article
  4. 4

    Adaptive Filter Utilizing Recursive Least Squares Algorithm with Adaptive Forgetting Factor von Javaid, Haseeb

    ISBN: 9798380093576
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2023
    “… In the context of adaptive filtering, the recursive least-squares (RLS) are a very popular algorithm, especially for its fast convergence rate …”
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    Dissertation
  5. 5

    Insulation fault monitoring of lithium-ion battery pack: Recursive least square with adaptive forgetting factor von Tian, Jiaqiang, Yin, Jianning

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 01.09.2023
    Veröffentlicht in Journal of energy storage (01.09.2023)
    “… Then, an insulation resistance estimation algorithm based on the adaptive forgetting factor recursive least square (AFFRLS …”
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    Journal Article
  6. 6

    An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries von Zhu, Chenyu, Wang, Shunli, Yu, Chunmei, Zhou, Heng, Fernandez, Carlos

    ISSN: 1432-8488, 1433-0768
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2023
    Veröffentlicht in Journal of solid state electrochemistry (01.09.2023)
    “… control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering (PCFFRLS-MCAEKF …”
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    Journal Article
  7. 7

    Lithium battery state of charge estimation based on improved variable forgetting factor recursive least squares method and adaptive Kalman filter joint algorithm von Zhao, Jinhui, Qian, Xinxin, Jiang, Bing

    ISSN: 2352-152X
    Veröffentlicht: Elsevier Ltd 15.10.2024
    Veröffentlicht in Journal of energy storage (15.10.2024)
    “… factor recursive least squares (IVFFRLS) and the adaptive extended Kalman filter (AEKF). First, IVFFRLS removes the rounding operation of the original algorithm …”
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    Journal Article
  8. 8

    A novel digital twin model based bio-heuristic sliding mode control algorithm for trajectory tracking control of USV in the presence of complex marine environment disturbance von Dong, Zaopeng, Lu, Sihang, Hu, Zhihao, Liu, Wangsheng, Ding, Yilun, Liu, Yuanchang

    ISSN: 0921-8890
    Veröffentlicht: Elsevier B.V 01.01.2026
    Veröffentlicht in Robotics and autonomous systems (01.01.2026)
    “… •Adaptive forgetting factor is proposed to flexibly adjust weights for historical data•Bio-heuristic function is presented to reduce abrupt changes in controller’s outputs …”
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    Journal Article
  9. 9

    An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm von Yang, Qinlian, Li, Yingqi, Li, You, Zheng, Manxu, Song, Rong

    ISSN: 1534-4320, 1558-0210, 1558-0210
    Veröffentlicht: United States IEEE 2024
    “… In this paper, we proposed an adaptive Hammerstein model to predict ankle joint torque induced by electrical stimulation, which used variable forgetting factor recursive least squares (VFFRLS …”
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    Journal Article
  10. 10

    A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations von Li, Bowen, Wang, Shunli, Fernandez, Carlos, Yu, Chunmei, Xia, Lili, Fan, Yongcun

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 01.08.2021
    Veröffentlicht in Journal of energy storage (01.08.2021)
    “… To solve the problem of high-precision state of power estimation, a fusion model based on adaptive forgetting factor recursive least squares identification and voltage and charge state constraints …”
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    Journal Article
  11. 11

    The research of superheated steam temperature control based on generalized predictive control algorithm and adaptive forgetting factor von Jiang, Cheng, Qian, Hong, Pan, Yuekai, Chai, Tingting

    ISSN: 0890-6327, 1099-1115
    Veröffentlicht: Bognor Regis Wiley Subscription Services, Inc 01.01.2020
    “… First, based on a fuzzy algorithm and a recursive least squares algorithm, the controlled object's model can be quickly and accurately obtained with the adaptive forgetting factor in real time …”
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    Journal Article
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    Lithium-ion Battery Model Parameter Identification Using Modified Adaptive Forgetting Factor-Based Recursive Least Square Algorithm von Shrivastava, Prashant, Soon, Tey Kok, Yamani Bin Idris, Mohd, Mekhilef, Saad

    ISSN: 2150-6086
    Veröffentlicht: IEEE 24.05.2021
    “… In this study, a modified adaptive forgetting factor-based recursive least square (MAFF-RLS) algorithm is proposed …”
    Volltext
    Tagungsbericht
  14. 14

    Research on Adaptive Hybrid Energy Consumption Model Based on Data Driven under Variable Working Conditions von Su, Yujun, Zou, Mingyao, Jiang, Cheng, Qian, Hong

    ISSN: 2296-598X, 2296-598X
    Veröffentlicht: Frontiers Media S.A 14.10.2021
    Veröffentlicht in Frontiers in energy research (14.10.2021)
    “… Firstly, the recursive least squares algorithm with adaptive forgetting factor based on fuzzy algorithm and recursive least squares algorithm is used to identify the simplified mechanism energy …”
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    Journal Article
  15. 15

    Improved adaptive fusion parameter identification and chaotic gravitational search-Kalman particle filtering method for state-of-energy accurate estimation of lithium-ion batteries von Wang, Chao, Wang, Shunli, Zhang, Gexiang, Chen, Lei, Shi, Haotian, Lin, Runxi, Fernandez, Carlos

    ISSN: 0378-7753
    Veröffentlicht: Elsevier B.V 15.09.2025
    Veröffentlicht in Journal of power sources (15.09.2025)
    “… Firstly, the adaptive forgetting factor-limited memory recursive extended least squares algorithm is designed by integrating the forgetting factor and the memory length factor to improve the accuracy …”
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    Journal Article
  16. 16

    Adaptive forgetting factor recursive least squares adaptive threshold nonlinear algorithm (RFF-RLS-ATNA) for identification of nonstationary systems von Koike, S.

    ISBN: 9780780376632, 0780376633
    ISSN: 1520-6149
    Veröffentlicht: IEEE 2003
    “… The recursive least squares (RLS) adaptive algorithm is combined with the "adaptive threshold nonlinear algorithm" (ATNA …”
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    Tagungsbericht
  17. 17

    A Novel Adaptive Forgetting Factor Recursive Least Squares-Extended Kalman Filter Algorithm for Energy State Estimation of Decommissioned Power Lithium-ion Batteries von Liu, Donglei, Wang, Shunli, Wang, Yangtao, Fan, Yongcun, Liang, Yawen, Wu, Fan

    Veröffentlicht: IEEE 26.09.2023
    “… Aiming at the difficult problem of online estimation of the state of energy (SOE) for decommissioned power lithium-ion batteries, an estimation method based on an adaptive forgetting factor recursive least squares-extended Kalman filter …”
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    Tagungsbericht
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    Hybrid approach for deformable mirror online system identification using RLS algorithm and adaptive forgetting factor optimization von Aghababayee, M. A., Mosayebi, M., Saghafifar, H.

    ISSN: 1094-4087, 1094-4087
    Veröffentlicht: United States 09.09.2024
    Veröffentlicht in Optics express (09.09.2024)
    “… In this study, an online system identification (SI) approach based on a recursive least squares algorithm with an adaptive forgetting factor (AFFRLS …”
    Volltext
    Journal Article
  19. 19

    Improved forgetting factor recursive least square and adaptive square root unscented Kalman filtering methods for online model parameter identification and joint estimation of state of charge and state of energy of lithium-ion batteries von Zhu, Tao, Wang, Shunli, Fan, Yongcun, Zhou, Heng, Zhou, Yifei, Fernandez, Carlos

    ISSN: 0947-7047, 1862-0760
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    Veröffentlicht in Ionics (01.12.2023)
    “… recursive least square (FFRLS) and adaptive square root unscented Kalman filter (ASRUKF) based on the second-order RC equivalent circuit model …”
    Volltext
    Journal Article
  20. 20

    Recursive Least Squares Dictionary Learning Algorithm von Skretting, K., Engan, K.

    ISSN: 1053-587X, 1941-0476
    Veröffentlicht: New York, NY IEEE 01.04.2010
    Veröffentlicht in IEEE transactions on signal processing (01.04.2010)
    “… We present the recursive least squares dictionary learning algorithm, RLS-DLA, which can be used for learning overcomplete dictionaries for sparse signal representation …”
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    Journal Article