Search Results - recursive least-squares algorithm~

Recursive least squares estimation with rank two updates

Authors: Stotsky, Alexander, 1960

Source: Automatika. 66(4):619-624

Subject Terms: Forgetting and windowing, rank two update versus rank one update, updating and downdating, wave form distortion monitoring for smart grids, estimation of the inverse of the information matrix and unknown parameters via RLS algorithms, RLSR2 (recursive least squares with rank two update)

File Description: electronic

Access URL: https://research.chalmers.se/publication/547561
https://research.chalmers.se/publication/547561/file/547561_Fulltext.pdf

RINS-Cali: A Calibration Method for RINS Mounting Errors Based on Screw Theory and Recursive Total Least Square Algorithm

Authors: Mengshen Yang Fuhua Jia Xing Hou et al.

Source: 2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). :1-6

A continuous kinematic calibration method for accuracy maintenance of industrial robot based on recursive least squares algorithm

Authors: Guifang Qiao Xinyi Jiang Mingyu Zhang et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Subject Terms: Laser tracker, Science, Accuracy maintenance, Medicine, Kinematic calibration, Industrial robot, Recursive least squares (RLS) algorithm, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/40180986
https://doaj.org/article/743b8e6d973d4eed8ec71d75e9cbe96c

A Dual Sliding Window Recursive Least Squares Algorithm to Improve Estimation Performance in Time-Varying System

Authors: Junseok Lim

Source: The Journal of Korean Institute of Information Technology. 23:153-158

On the Recursive Algorithm of Weighted Least Squares Estimation with Non-Diagonal Weight Matrix

Authors: Masato Ikenoue

Source: Transactions of the Institute of Systems, Control and Information Engineers. 38:99-108

Two-stage recursive least squares algorithm for identifying ship motion parameters and wave peak frequency

Authors: Yang Liu Shun An Yan He et al.

Source: Ships and Offshore Structures. :1-13

Optimized Battery Modeling Using Adaptive Forgetting Factor in Recursive Least Squares Algorithm

Authors: Srikiran Chinta Hari Prasad Bhupathi Swarna Kumari Yeditha et al.

Source: 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0. :1-6

Auxiliary model‐based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output‐error systems: Auxiliary model-based recursive least squares and stochastic gradient algorithms and convergence analysis for feedback nonlinear output-error systems

Authors: Guangqin Miao Dan Yang Feng Ding

Source: International Journal of Adaptive Control and Signal Processing. 38:3268-3289

Subject Terms: least squares, 0209 industrial biotechnology, feedback nonlinear system, Systems theory, control, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, stochastic gradient, auxiliary model, convergence analysis

File Description: application/xml

A filtering‐based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems: A filtering-based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems

Authors: Jiayun Zheng Feng Ding

Source: International Journal of Robust and Nonlinear Control. 34:6063-6082

Subject Terms: 0209 industrial biotechnology, Least squares and related methods for stochastic control systems, recursive least squares, 0202 electrical engineering, electronic engineering, information engineering, Impulsive control/observation systems, 02 engineering and technology, data filtering, stochastic system, parameter estimation, Filtering in stochastic control theory

File Description: application/xml

Influence of the Forgetting Factor in the Recursive Least Squares RLS Algorithm on the Quality and Precision of the Identified Parameters in a DC Corona Discharge

Authors: Tahtah Abdelkarim Raouti Driss Olivier Eichwald et al.

Source: IEEE Transactions on Plasma Science. 53:108-115

A Polynomial Recursive Nonlinear Least-Squares Algorithm for High-Accuracy Parameter Identification of Heavy-Haul Train Dynamics

Authors: Tao Wen Jingwen Chen Yifei Cai et al.

Source: IEEE Transactions on Instrumentation and Measurement. 74:1-14

A hybrid algorithm for the state of energy estimation of lithium-ion batteries based on improved adaptive-forgotten-factor recursive least squares and particle swarm optimized unscented particle filtering

Authors: Shen, Xianfeng Wang, Shunli Yu, Chunmei et al.

Source: Ionics. 30:6197-6213

Subject Terms: Lithium-ion batteries, QPSO-UPF algorithm, MAFFRLS algorithm, State of energy, 2RC-PNGV model

Access URL: https://rgu-repository.worktribe.com/output/2418881

An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation

Authors: Shen, Xianfeng Wang, Shunli Yu, Chunmei et al.

Source: Ionics. 30:6179-6195

Subject Terms: Lithium-ion batteries, Curve-increasing strategy, Second-order RC-PNGV model, State of energy, Particle filter algorithm

Access URL: https://rgu-repository.worktribe.com/output/2418892

Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose–response model

Authors: Thierry Busso Sébastien Chalencon

Source: European Journal of Applied Physiology. 125:1437-1448

Access URL: https://pubmed.ncbi.nlm.nih.gov/39709585

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

Recursive Least Squares Self-Interference Cancellation Algorithm Based on Dichotomous Coordinate Descent

Authors: Yuan Zhao Jinghan Feng Zhao Tong et al.

A coupled recursive least squares algorithm for multivariable systems and its computational amount analysis by using the coupling identification concept

Authors: Yu Jin Feng Ding

Source: International Journal of Adaptive Control and Signal Processing. 38:513-533

Subject Terms: least squares, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, Identification in stochastic control theory, Least squares and related methods for stochastic control systems, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, 02 engineering and technology, parameter estimation, multivariate system, coupling identification concept, recursive identification

File Description: application/xml

Access URL: https://zbmath.org/7867827
https://doi.org/10.1002/acs.3712

Recursive Least Squares Algorithm for Online Parameter Identification of DC Motor: Theory and Practice

Authors: Nhut Thang Le Minh Tri Nguyen Cong Toai Truong et al.

Source: 2024 International Conference on Engineering and Emerging Technologies (ICEET). :1-6

Can dynamic adaptation gain speed up recursive least squares algorithm?

Authors: Ioan Doré Landau Tudor-Bogdan Airimitoaie Bernard Vau et al.

Source: 2024 IEEE 63rd Conference on Decision and Control (CDC). :2791-2796

A Low-Jitter and Compact-Area Fractional-N Digital PLL With Fast Multi-Variable Calibration Using the Recursive Least-Squares Algorithm

Authors: Seheon Jang Munjae Chae Hangi Park et al.

Source: IEEE Journal of Solid-State Circuits. 59:3884-3897