Search Results - "forgetting factor recursive least squares algorithm"

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm

Authors: Qinlian Yang Yingqi Li You Li et al.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1109-1118 (2024)

Subject Terms: 0209 industrial biotechnology, Electric Stimulation Therapy, RM1-950, 02 engineering and technology, Electric Stimulation, muscle model, Torque, Functional electrical stimulation, Medical technology, 0202 electrical engineering, electronic engineering, information engineering, Humans, Therapeutics. Pharmacology, R855-855.5, Least-Squares Analysis, Muscle, Skeletal, Hammerstein model, Algorithms, system identification

Access URL: https://pubmed.ncbi.nlm.nih.gov/38421838
https://doaj.org/article/b7939f9c42614228ab3bb49f9a2b99d1

Frequency Hopping Acquisition Based on Variable Forgetting Factor Recursive Least Squares Algorithm

Authors: Zengmao Chen Xianwu Zhao Li Lu et al.

Source: 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). :1087-1091

Subject Terms: 0508 media and communications, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A New Method of Insulation Detection on Electric Vehicles Based on a Variable Forgetting Factor Recursive Least Squares Algorithm

Authors: Zhenbin Chen Weiya Cui Xiangyu Cui et al.

Source: IEEE Access, Vol 9, Pp 73590-73607 (2021)

Subject Terms: embedded micro-control unit, lithium-ion batteries, insulation detection, variable forgetting factor recursive least squares (VFFRLS), Electric vehicle (EV), Electrical engineering. Electronics. Nuclear engineering, 01 natural sciences, 7. Clean energy, TK1-9971, 0104 chemical sciences

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09427492.pdf
https://doaj.org/article/5d16abd74d824d53b22750eb3a26d8cf
https://ieeexplore.ieee.org/abstract/document/9427492/
https://doaj.org/article/5d16abd74d824d53b22750eb3a26d8cf
https://dblp.uni-trier.de/db/journals/access/access9.html#ChenCCQLQ21

Convex regularized variable-forgetting-factor recursive least squares algorithm for sparse system identification

Authors: Xin Yang Yuhong Wang Site Mo et al.

Nonlinear Time-varying Systems Identification Based on Multi-dimensional Taylor Network and Variable Forgetting Factor Recursive Least Squares Algorithm

Authors: Jiao-Jun Zhang Hong-Sen Yan

Source: IFAC-PapersOnLine. 48:1103-1107

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

Access URL: https://www.sciencedirect.com/science/article/pii/S2405896315014226

A practical variable forgetting factor recursive least-squares algorithm

Authors: Constantin Paleologu Silviu Ciochina Jacob Benesty

Source: 2014 11th International Symposium on Electronics and Telecommunications (ISETC). :1-4

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

Access URL: https://vbn.aau.dk/da/publications/a-practical-variable-forgetting-factor-recursive-leastsquares-algorithm(9454937c-eb7e-46fb-b1a0-2db442054b48).html
https://ieeexplore.ieee.org/document/7010812/

A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification

Authors: Silviu Ciochina Constantin Paleologu Jacob Benesty

Source: IEEE Signal Processing Letters. 15:597-600

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

A Nonparametric Variable Forgetting Factor Recursive Least-Squares Algorithm

Authors: Paleologu, Constantin Benesty, Jacob Otopeleanu, Radu-Andrei et al.

Source: IEEE Signal Processing Letters ; page 1-5 ; ISSN 1070-9908 1558-2361

Availability: https://doi.org/10.1109/lsp.2025.3632232
http://xplorestaging.ieee.org/ielx8/97/4358004/11244230.pdf?arnumber=11244230

Online Inductance and Capacitance Identification Based on Variable Forgetting Factor Recursive Least-Squares Algorithm for Boost Converter

Authors: Chen Chen Min Run Tong Qiaoling et al.

Source: MATEC Web of Conferences, Vol 160, p 01001 (2018)

Subject Terms: Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/2261-236X

Access URL: https://doaj.org/article/61527a339d66463785a6ea31f476fc20

Analysis of a constrained forgetting factor recursive least squares algorithm in system identification

Authors: UCL Carrette, P.

Index Terms: info:eu-repo/semantics/conferenceObject

URL: http://hdl.handle.net/2078.1/68218

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm.

Authors: Yang, Qinlian Li, Yingqi Li, You et al.

Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2024, Vol. 32, p1109-1118, 10p

Subject Terms: BIOLOGICAL neural networks, ANKLE joint, STANDARD deviations, GOODNESS-of-fit tests, MUSCLE fatigue, ANKLE

Analysis of a constrained forgetting factor recursive least squares algorithm in system identification

Authors: P. Carrette

Source: Proceedings of 35th IEEE Conference on Decision and Control. 1:1079-1080

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

Access URL: https://dial.uclouvain.be/pr/boreal/object/boreal:68218
http://ieeexplore.ieee.org/document/574645/

Analysis of a Constrained Forgetting Factor Recursive Least Squares Algorithm in System Identification.

Authors: P. Carrette The Pennsylvania State University CiteSeerX Archives

Contributors: P. Carrette The Pennsylvania State University CiteSeerX Archives

Source: ftp://ftp.auto.ucl.ac.be/pub/carrette/CDC96.ps.Z

File Description: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.9665

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.9665

Research on Adaptive Reaction Null Space Planning and Control Strategy Based on VFF–RLS and SSADE–ELM Algorithm for Free-Floating Space Robot

Authors: Xin Ye Zheng-Hong Dong Jia-Cai Hong

Source: Electronics, Vol 8, Iss 10, p 1111 (2019)

Subject Terms: free-floating space robot, adaptive reaction null space planning, the variable forgetting factor recursive least squares algorithm, the strategy self-adaption differential evolution, extreme learning machine, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/8/10/1111; https://doaj.org/toc/2079-9292; https://doaj.org/article/4a1fc846f3f7453c9d2d1c110525b06b

Availability: https://doi.org/10.3390/electronics8101111
https://doaj.org/article/4a1fc846f3f7453c9d2d1c110525b06b

A practical variable forgetting factor recursive least-squares algorithm.

Authors: Paleologu, Constantin Benesty, Jacob Ciochina, Silviu

Source: 2014 11th International Symposium on Electronics & Telecommunications (ISETC); 2014, p1-4, 4p

Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries.

Authors: Maheshwari, A. Nageswari, S. Palanisamy, R. et al.

Source: Engineering Reports; Aug2025, Vol. 7 Issue 8, p1-19, 19p

Subject Terms: ELECTRIC vehicles, BATTERY management systems, KALMAN filtering, SIMULATION methods & models, PARAMETER estimation, ALGORITHMS, CHARGE measurement, ENERGY storage

A Robust Variable Forgetting Factor Recursive Least-Squares Algorithm for System Identification.

Authors: Paleologu, Constantin Benesty, Jacob Ciochină, Silviu

Source: IEEE Signal Processing Letters; 2008, Vol. 15 Issue 1, p597-600, 4p, 6 Graphs

Subject Terms: ALGORITHMS, SYSTEM analysis, ECHO suppression, SIGNAL processing, TELECOMMUNICATION systems, SIGNAL-to-noise ratio

Construction and simulation analysis of lithium‐ion batteries thermoelectric coupling model based on digital twin.

Authors: Liu, Lingchong Dong, Shufeng Nan, Bin et al.

Source: IET Renewable Power Generation (Wiley-Blackwell); 11/16/2024, Vol. 18 Issue 15, p2854-2866, 13p

Subject Terms: DIGITAL twin, ENERGY development, ENERGY storage, DIGITAL computer simulation, DIGITAL technology

Performance analysis of the generalised projection identification for time‐varying systems.

Authors: Ding, Feng Xu, Ling Zhu, Quanmin

Source: IET Control Theory & Applications (Wiley-Blackwell). Dec2016, Vol. 10 Issue 18, p2506-2514. 9p.

Analysis of a constrained forgetting factor recursive least squares algorithm in system identification.

Authors: Carrette, P.

Source: Proceedings of 35th IEEE Conference on Decision & Control; 1996, Issue 1, p1079-1079, 1p