Suchergebnisse - recursive forgetting factor least square algorithm

A Novel Variable Forgetting Factor Recursive Least Square Algorithm to Improve the Anti-Interference Ability of Battery Model Parameters Identification

Autoren: Qiang Song Yuxuan Mi Wuxuan Lai

Quelle: IEEE Access, Vol 7, Pp 61548-61557 (2019)

Schlagwörter: Lithium battery, variable forgetting factor, recursive least square, parameter identification, robustness, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/8662601/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/f292cdd9b7b144cb90274562673129ef

Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm

Autoren: Xinyuan Wei Honghan Ye Gao Wang et al.

Quelle: Case Studies in Thermal Engineering, Vol 56, Iss , Pp 104239- (2024)

Schlagwörter: CNC machine tools, Thermal error modeling, Adaptability, Recursive least square algorithm, Variable forgetting factor, Engineering (General). Civil engineering (General), TA1-2040

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214157X24002703; https://doaj.org/toc/2214-157X

Zugangs-URL: https://doaj.org/article/864239418b9e46f8bab9660006bad00b

Adaptive Forgetting Factor Recursive Least Square Algorithm for Online Identification of Equivalent Circuit Model Parameters of a Lithium-Ion Battery

Autoren: Xiangdong Sun Jingrun Ji Biying Ren et al.

Quelle: Energies, Vol 12, Iss 12, p 2242 (2019)

Schlagwörter: lithium-ion battery, equivalent circuit model, recursive least square, adaptive forgetting factor, parameter identification, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/12/12/2242; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/2386361de8784a10a8740452eb73ecc4

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.

Autoren: Zhu, Chenyu Wang, Shunli Yu, Chunmei et al.

Quelle: Journal of Solid State Electrochemistry. Sep2023, Vol. 27 Issue 9, p2277-2287. 11p.

Schlagwörter: *KALMAN filtering, *LITHIUM-ion batteries, *STANDARD deviations, *BATTERY management systems, *PARAMETER identification, *ALGORITHMS, *LEAST squares

Variable recursive least square algorithm for online battery equivalent circuit model parameters identification for electric vehicles.

Autoren: El Marghichi, Mouncef Loulijat, Azeddine El Hantati, Issam

Quelle: Electrical Engineering. Jun2024, Vol. 106 Issue 3, p2425-2445. 21p.

Schlagwörter: *ONLINE algorithms, *PARAMETER identification, *LEAST squares, *ELECTRIC circuits, *LITHIUM cells

Firma/Körperschaft: SAMSUNG Group (Company)

Online Parameter Identification of Lithium-Ion Batteries Using a Novel Multiple Forgetting Factor Recursive Least Square Algorithm

Autoren: Bizhong Xia Rui Huang Zizhou Lao et al.

Quelle: Energies, Vol 11, Iss 11, p 3180 (2018)

Schlagwörter: battery management system, state of charge estimation, multiple forgetting factor, recursive least square, online parameter identification, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/11/11/3180; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/b7bac77b95274a6ca2940dabf23b354b

State of charge estimation of ultracapacitor based on forgetting factor recursive least square and extended Kalman filter algorithm at full temperature range.

Autoren: Ren J Xu Y Zhang H et al.

Quelle: Heliyon [Heliyon] 2022 Oct 19; Vol. 8 (11), pp. e11146. Date of Electronic Publication: 2022 Oct 19 (Print Publication: 2022).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE

Variable Recursive Least Square Algorithm for Lithium-ion Battery Equivalent Circuit Model Parameters Identification

Autoren: El Marghichi, Mouncef Loulijat, Azedine El Hantati, Issam

Quelle: Periodica Polytechnica Electrical Engineering and Computer Science; Vol. 67 No. 3 (2023); 239-248 ; 2064-5279 ; 2064-5260

Schlagwörter: recursive least squares (RLS), variable recursive least squares (VRLS), adaptive forgetting factor recursive least squares (AFFRLS), battery

Dateibeschreibung: application/pdf

Relation: https://pp.bme.hu/eecs/article/view/21339/9758; https://pp.bme.hu/eecs/article/view/21339

Verfügbarkeit: https://pp.bme.hu/eecs/article/view/21339

A Comparative Study of Weighted Recursive Least Square Algorithm and Variable Forgetting Factor Recursive Least Square Algorithm for Parameter Estimation of Lithium-Ion Battery

Autoren: Ghaly, Engy A. Abdel-Khalik, Ayman S. Hamdy, Ragi A.

Quelle: 2024 International Telecommunications Conference (ITC-Egypt) ; page 416-422

Verfügbarkeit: https://doi.org/10.1109/itc-egypt61547.2024.10620477
http://xplorestaging.ieee.org/ielx8/10620403/10620452/10620477.pdf?arnumber=10620477

Lithium-ion Battery Model Parameter Identification Using Modified Adaptive Forgetting Factor-Based Recursive Least Square Algorithm

Autoren: Shrivastava, Prashant Soon, Tey Kok Yamani Bin Idris, Mohd et al.

Weitere Verfasser: Shrivastava, Prashant Soon, Tey Kok Yamani Bin Idris, Mohd et al.

Quelle: IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia 2021), Singapore, Singapore, 24-27 May 2021, pp. 2169-2174, 9479079

Relation: http://hdl.handle.net/1959.3/464407; https://doi.org/10.1109/ECCE-Asia49820.2021.9479079

Verfügbarkeit: http://hdl.handle.net/1959.3/464407
https://doi.org/10.1109/ECCE-Asia49820.2021.9479079

A Novel Forgetting Factor Recursive Least Square Algorithm Applied to the Human Motion Analysis

Autoren: Hadi Sadoghi Yazdi Mehri Sadoghi Yazdi Mohammad Reza Mohammadi

Schlagwörter: Forgetting factor, RLS, Inverse correlation matrix, human motion analysis

Relation: https://zenodo.org/communities/waset/; https://zenodo.org/records/1061798; oai:zenodo.org:1061798; https://doi.org/10.5281/zenodo.1061798

Verfügbarkeit: https://doi.org/10.5281/zenodo.1061798
https://zenodo.org/records/1061798

Channel Estimation of MIMO-NOMA System Based on a Variable Forgetting Factor Recursive Least Square Algorithm

Autoren: Nayak, Ankit Sarkar, Manidipa Sahoo, Swetaleena et al.

Quelle: 2021 IEEE 2nd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC) ; page 1-5

Verfügbarkeit: https://doi.org/10.1109/aespc52704.2021.9708457
http://xplorestaging.ieee.org/ielx7/9708066/9708067/09708457.pdf?arnumber=9708457

Improved variable forgetting factor recursive least square algorithm

Autoren: Albu, Felix

Quelle: 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV) ; page 1789-1793

Verfügbarkeit: https://doi.org/10.1109/icarcv.2012.6485421
http://xplorestaging.ieee.org/ielx7/6478914/6485123/06485421.pdf?arnumber=6485421

A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations.

Autoren: Li, Bowen Wang, Shunli Fernandez, Carlos et al.

Schlagwörter: Lithium ion batteries, Electric vehicles, State of power, Fusion model, Adaptive forgetting factor, Recursive least square algorithm, Linear recursion algorithm

Relation: https://rgu-repository.worktribe.com/output/1346996

Verfügbarkeit: https://doi.org/10.1016/j.est.2021.102583
https://rgu-repository.worktribe.com/file/1346996/1/LI%202021%20A%20linear%20recursive%20%28AAM%29
https://rgu-repository.worktribe.com/output/1346996

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.

Quelle: 1432-8488; 1433-0768

Index Begriffe: Lithium-ion battery, State of charge, Monte Carlo, Adaptive extended Kalman filtering, Proportional control, Environment, Energy & Sustainability

URL: https://rgu-repository.worktribe.com/file/1966230/1/ZHO%202023%20An%20improved%20proportional%20%28AAM%29
https://rgu-repository.worktribe.com/output/1966230
https://rgu-repository.worktribe.com/output/1966230

Particle Swarm Intelligence Based Univariate Parameter Tuning of Recursive Least Square Algorithm for Optimal Heart Sound Signal Filtering.

Autoren: ANTONY DHAS, Mary Mekala CHANDRASEKARAN, Srimathi

Quelle: Gazi University Journal of Science. Sep2019, Vol. 32 Issue 3, p928-943. 16p.

Schlagwörter: *OPTIMIZATION algorithms, *PARTICLE swarm optimization, *SEARCH algorithms, *HEART sounds, *SWARM intelligence

Self-organizing interval type-2 fuzzy neural network based on eigenvalue decomposition.

Autoren: Wang, Panchao Zhao, Taoyan Cao, Jiangtao et al.

Quelle: Applied Soft Computing. Dec2025:Part A, Vol. 184, pN.PAG-N.PAG. 1p.

Schlagwörter: Nonlinear systems, System identification, Machine learning, Mathematical optimization, Algorithms, Self-organizing systems, Fuzzy neural networks, Eigenanalysis

基于动态遗忘因子最小二乘与 EKF 的电池 SOC 估计. (Chinese)

Alternate Title: Estimation of Battery SOC Based on Dynamic Forgetting Factor Least Square Algorithm and EKF. (English)

Autoren: 马福荣 李演明 杜 浩 et al.

Quelle: Computer Measurement & Control; 2023, Vol. 31 Issue 1, p167-180, 8p

A Modified RLS Algorithm for Online Estimation of Low-Frequency Oscillations in Power Systems

Autoren: Beza, Mebtu Bihonegn Bongiorno, Massimo

Quelle: IEEE Transactions on Power Systems. 31(3):1703-1714

Schlagwörter: Estimation technique, low-frequency oscillation, low-pass filter (LPF), variable forgetting factor, recursive least square (RLS), power oscillation damping (POD)

Zugangs-URL: https://research.chalmers.se/publication/218554

基于改进初值带遗忘因子的递推最小二乘法的 锂电池参数辨识. (Chinese)

Alternate Title: Parameters identification of lithium battery based on forgetting factor recursive least square algorithm with improved initial value. (English)

Autoren: 王 文 史华泽 岳雨霏 et al.

Quelle: Journal of Electric Power Science & Technology; Jul2024, Vol. 39 Issue 4, p178-186, 9p

Schlagwörter: OPEN-circuit voltage, PARAMETER identification, LEAST squares, LITHIUM-ion batteries, ALGORITHMS