Search Results - recursive least-squares algorithm~

Kernel Recursive Least Squares Algorithm Based on the Nystr }}}}m Method With k-Means Sampling by Zhang, Tao, Wang, Shiyuan, Huang, Xuewei, Jia, Lei

“…The kernel recursive least squares (KRLS) algorithm is used to improve the convergence rate and filtering accuracy of kernel adaptive filters (KAFs…”
Get full text

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

“…) 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…”
Get full text

Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems by Kang, Zhen, Ji, Yan, Liu, Ximei

“… parameters related to the noise model. A hierarchical recursive least squares algorithm is proposed based on the hierarchical identification principle for interactively identifying each subsystem…”
Get full text

Faster, Stabler, and Simpler-A Recursive-Least-Squares Algorithm Exploiting the Frisch-Waugh-Lovell Theorem by Monsurro, Pietro, Trifiletti, Alessandro

“…We propose a novel recursive least squares (RLS) algorithm that exploits the Frisch-Waugh-Lovell theorem to reduce digital complexity and improve convergence speed and algorithmic stability in fixed-point arithmetic…”
Get full text

Least Mean Squares and Recursive Least Squares Algorithms for Total Harmonic Distortion Reduction Using Shunt Active Power Filter Control by Martinek, Radek, Rzidky, Jaroslav, Jaros, Rene, Bilik, Petr, Ladrova, Martina

“…This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS…”
Get full text

Zero-Attracting Recursive Least Squares Algorithms by Hong, Xia, Gao, Junbin, Chen, Sheng

“… In this paper, two zeroattracting recursive least squares algorithms, which are referred to as ZA-RLS-I and ZA-RLS-II, are derived by employing the l 1 -norm of the parameter vector constraint…”
Get full text

Recursive least squares algorithm and gradient algorithm for Hammerstein–Wiener systems using the data filtering by Wang, Yanjiao, Ding, Feng

“… In order to improve the estimation accuracy, the data filtering-based recursive generalized extended least squares algorithm is derived…”
Get full text

Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose–response model by Busso, Thierry, Chalencon, Sébastien

“… Methods A time-varying model using a recursive least squares algorithm was applied to data from eight swimmers collected over 61…”
Get full text

Auxiliary model‐based recursive least squares algorithm for two‐input single‐output Hammerstein output‐error moving average systems by using the hierarchical identification principle by Liu, Jian, Ji, Yan

“… The auxiliary model‐based forgetting factor recursive least squares algorithm and the auxiliary model…”
Get full text

Parameter identification of a lithium-ion battery based on the improved recursive least square algorithm by Ren, Biying, Xie, Chenxue, Sun, Xiangdong, Zhang, Qi, Yan, Dan

“… Based on the analysis of the second-order RC equivalent circuit model, the parameter identification process using the recursive least squares (RLS…”
Get full text

New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm by Li, Zhijun, Adeli, Hojjat

“…) and recursive least-squares (RLS) algorithm. The robust H∞ control is more effective than the traditional LQR…”
Get full text

Detection of abnormal photovoltaic systems’ operation with minimum data requirements based on Recursive Least Squares algorithms by Laguna, Gerard, Moreno, Pablo, Cipriano, Jordi, Mor, Gerard, Gabaldón, Eloi, Luna, Alvaro

“… Artificial intelligence algorithms, grounded in data measurements, can be pivotal in addressing this challenge…”
Get full text

A recursive least squares algorithm with ℓ1 regularization for sparse representation by Liu, Di, Baldi, Simone, Liu, Quan, Yu, Wenwu

Get full text

A filtering‐based recursive extended least squares algorithm and its convergence for finite impulse response moving average systems by Zheng, Jiayun, Ding, Feng

“… By using the data filtering technique, this article proposes a filtering‐based recursive extended least squares (F‐RELS) algorithm…”
Get full text

Quantized Kernel Recursive Least Squares Algorithm by Chen, Badong, Zhao, Songlin, Zhu, Pingping, Principe, Jose C.

“… By incorporating a simple online vector quantization method, we derive a recursive algorithm to update the solution, namely the quantized kernel recursive least squares algorithm…”
Get full text

Momentum‐innovation recursive least squares identification algorithm for a servo turntable system based on the output error model by Liu, Zhiwen, Cheng, Tianji, Han, Chongyang, Liu, Enhai, Wang, Ranjun

“… term of the recursive least squares algorithm, and the momentum‐innovation recursive least squares (MI‐RLS…”
Get full text

Improved model‐free adaptive predictive control based on recursive least‐squares estimation algorithm by Pham, Hoang Anh, Söffker, Dirk

“… To estimate and predict the time‐varying parameter matrices, namely, pseudo‐Jacobian matrix (PJM), recursive least‐squares algorithms are utilized for online estimation improvement…”
Get full text

Kernel recursive least squares dictionary learning algorithm by Alipoor, Ghasem, Skretting, Karl

Get full text

Variable data-window-size recursive least-squares algorithm for dynamic system identification by Cho, Hyeonwoo, Yu, Son-Cheol

“…A variable data-window size for the recursive least-squares algorithm is proposed…”
Get full text

M-Decomposed Least Squares and Recursive Least Squares Identification Algorithms for Large-Scale Systems by Ji, Yuejiang, Lv, Lixin

“… To update the parameters with new arrived data, an M-decomposed based recursive least squares algorithm is also provided, this algorithm avoids matrix inversion calculation thus is more efficient. The simulation examples show the effectiveness of the proposed algorithms…”
Get full text