Suchergebnisse - forgetting factor recursive least squares algorithm

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

Autoren: Qinlian Yang Yingqi Li You Li et al.

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

Schlagwörter: 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

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

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

Autoren: Zhenbin Chen Weiya Cui Xiangyu Cui et al.

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

Schlagwörter: 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

Zugangs-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

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

Autoren: Zengmao Chen Xianwu Zhao Li Lu et al.

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

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

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

Autoren: Jing Ren Yonghong Xu Hongguang Zhang et al.

Quelle: Heliyon, Vol 8, Iss 11, Pp e11146- (2022)

Schlagwörter: Extended Kalman filter, Forgetting factor recursive least squares, Parameter identification, State of charge, Ultracapacitor, Science (General), Q1-390, Social sciences (General), H1-99

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844022024343; https://doaj.org/toc/2405-8440

Zugangs-URL: https://doaj.org/article/44202abdf3e94fce8da45840ed64145f

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

Autoren: Xin Yang Yuhong Wang Site Mo et al.

Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal

Autoren: Beza, Mebtu Bihonegn Bongiorno, Massimo

Quelle: IEEE Transactions on Industry Applications. 50(2):1168-1176

Schlagwörter: least squares methods, frequency estimation, variable forgetting factor, SYSTEMS, Adaptive estimation, phase, estimation, phase-locked loops (PLLs)

Zugangs-URL: https://research.chalmers.se/publication/199227

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

Autoren: Jiao-Jun Zhang Hong-Sen Yan

Quelle: IFAC-PapersOnLine. 48:1103-1107

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

A practical variable forgetting factor recursive least-squares algorithm

Autoren: Constantin Paleologu Silviu Ciochina Jacob Benesty

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

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-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

Autoren: Silviu Ciochina Constantin Paleologu Jacob Benesty

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

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

A Nonparametric Variable Forgetting Factor Recursive Least-Squares Algorithm

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

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

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

Bi-loop Matrix Forgetting Factor-Based Coupled Recursive Least Squares Algorithm for Identification of Multivariable Plants.

Autoren: Mirhoseini, Parvin Tabatabaei, Mohammad

Quelle: Journal of Control, Automation & Electrical Systems. Apr2018, Vol. 29 Issue 2, p136-152. 17p.

Schlagwörter: Parameter estimation, Least squares, Multivariable control systems, Simulation methods & models, Estimation theory, Time-varying systems

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

Autoren: Chen Chen Min Run Tong Qiaoling et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/61527a339d66463785a6ea31f476fc20

Parameter Identification of Battery Model Based on Forgetting Factor Recursive Least Square Method

Autoren: Guiping Wang Qingchuan Zhu Gong Xianwu et al.

Quelle: 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC). :1712-1715

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

Zugangs-URL: https://www.acemap.info/paper/51465125

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

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

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

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

Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle: Auxiliary model-based recursive least squares algorithm for two-input single-output Hammerstein output-error moving average systems by using the hierarchical identification principle

Autoren: Jian Liu Yan Ji

Quelle: International Journal of Robust and Nonlinear Control. 32:7575-7593

Schlagwörter: 0209 industrial biotechnology, multi-innovation identification theory, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, 02 engineering and technology, nonlinear system, System identification, parameter estimation, auxiliary model, recursive identification

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7779555
https://doi.org/10.1002/rnc.6227

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

Autoren: UCL Carrette, P.

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

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

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

Autoren: P. Carrette

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

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

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

变遗忘因子递推最小二乘Hammerstein系统 辨识算法. (Chinese)

Alternate Title: Recursive Least Squares Algorithm with Variable Forgetting Factor for Identification in Hammerstein System. (English)

Autoren: 赵旭楷 刘兆霆

Quelle: Journal of Signal Processing; Feb2022, Vol. 38 Issue 2, p432-438, 7p

BUILDING DYNAMIC PROPERTY CHANGE UNDER AN EARTHQUAKE EVALUATED BY THE FORGETTING FACTOR RECURSIVE LEAST SQUARES METHOD

Autoren: Yoshiki Ikeda

Quelle: AIJ Journal of Technology and Design. 18:51-54

Schlagwörter: 02 engineering and technology, 0201 civil engineering

Zugangs-URL: https://www.jstage.jst.go.jp/article/aijt/18/38/18_38_51/_pdf

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

Autoren: P. Carrette The Pennsylvania State University CiteSeerX Archives

Weitere Verfasser: P. Carrette The Pennsylvania State University CiteSeerX Archives

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

Dateibeschreibung: application/postscript

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

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