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Rank-k modification methods for recursive least squares problems
Numerical Algorithms, 1994A linear least squares problem based on the QR factorization is referred to as the recursive least squares problem if it is desired to solve the same problem with one or more rows added or deleted from the data. The authors introduce the concept of rank-\(k\) modifications for recursive least squares problems, with the emphasis on developing ...
Olszanskyj, Serge J. +2 more
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A pruning method for the recursive least squared algorithm
Neural Networks, 2001The recursive least squared (RLS) algorithm is an effective online training method for neural networks. However, its conjunctions with weight decay and pruning have not been well studied. This paper elucidates how generalization ability can be improved by selecting an appropriate initial value of the error covariance matrix in the RLS algorithm ...
C S, Leung +3 more
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Adaptive PLL method using recursive least square algorithm
2015 IEEE International Conference on Industrial Technology (ICIT), 2015The implementation of conventional synchronous reference frame PLL(SRF-PLL) is simple and estimation performance of the phase angle is superior under balanced utility voltage. However, conventional SRF-PLL degrade its performance under unbalanced utility voltage.
Moon Seok-Hwan +2 more
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A parallel architecture for recursive least square method
Electronics and Communications in Japan (Part I: Communications), 1987AbstractRecent developments in computer technology have enabled the real‐time treatment of signal processing with a large amount of computation which had been considered to be impossible. Moreover, with the development of LSI technology, it has become possible to speed up the execution of the algorithms by parallel computing hardware.This paper ...
Koichi Hashimoto, Hidenori Kimura
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Recursive extended least-squares method for unity feedback system
2011 Chinese Control and Decision Conference (CCDC), 2011In this paper, the problem of unbiased recursive identification of a plant model in closed-loop operation with unit feedback is considered. A recursive extended least squares (RELS) algorithm for unity feedback system is presented by means of the model equivalence idea. The proposed algorithm is simple and efficient and can give the unbiased estimation
Zhang Yong, Cui Guimei
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Adaptive recursive least squares method for parameter estimation of autoregressive models
International Journal of Applied Nonlinear Science, 2023The authors would like to acknowledge the support of the Lahore College for Women University, Lahore Pakistan for completion of this ...
Javed, Shazia +4 more
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Principal component extraction using recursive least squares learning method
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks, 1991A new approach is introduced for the recursive computation of the principal components of a vector stochastic process. The neurons of a single layer perceptron are sequentially trained using a recursive least square type algorithm to extract the principal components of the input process.
S. Bannour, M.R. Azimi-Sadjadi
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A New Algorithm of the Recursive Generalized Least-squares Method
IFAC Proceedings Volumes, 1988Abstract A new method for estimation of ARMA model parameters is considered. A recursive version of Gauss-Markov estimate based on computation of covariance matrix elements is developed. The method uses special features of the covariance matrix. Three versions of estimators are obtained depending on the method of estimation of covariance matrix ...
I.N. Vuchkov, L.N. Boyadjieva
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Recursive least-squares method with membership functions
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2005Linear regression with the recursive least-squares algorithm is widely used for parameter estimation. However, in a number of cases, linear regression is not sufficient to accurately correlate a process. A method combining the recursive least-squares algorithm and membership functions is presented to overcome the shortcoming of traditional linear ...
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Estimating Parameters of SAR Model by Recursive Least Square Method
Advanced Materials Research, 2012Seasonal runoff series can be described by seasonal autoregressive model, which is extensively applied in long-term runoff forecasting. The common way of parameters estimation is moment estimation. This paper estimates parameters of seasonal autoregressive model by recursive least square method and applies the method in forecasting the monthly runoff ...
Meng Cheng, Jo Song Guk, Jin Wen Wang
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