Search Results - pseudo-linear regression algorithms

Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions by Vau, Bernard, Bourlès, Henri

“…), not for pseudo-linear regression (PLR) ones, for which we give the correct frequency domain bias analysis, both in open- and closed-loop…”
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On the convergence of pseudo-linear regression algorithms by STOICA, PETRE, SÖDERSTRÖM, TORSTEN, AHLÉN, ANDERS, SOLBRAND, GÓTE

“…The convergence properties of a general iterative (off-line) pseudo-linear regression (PLR…”
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On the asymptotic accuracy of pseudo-linear regression algorithms by STOICA, P, SODERSTROM, T, AHLEN, A, SOLBRAND, G

“…The accuracy properties of a general pseudo-linear regression (PLR) method are examined…”
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Existence of stationary points for pseudo-linear regression identification algorithms by Regalia, P.A., Mboup, M., Ashari, M.

“…The authors prove the existence of a stable transfer function satisfying the nonlinear equations characterizing an asymptotic stationary point, in undermodeled cases, for a class of pseudo-linear…”
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Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions by Vau, Bernard, Bourlès, Henri

“…), not for pseudo-linear regression (PLR) ones, for which we give the correct frequency domain bias analysis, both in open- and closed-loop…”
Get full text

Gradient-based iterative parameter estimation for Box–Jenkins systems by Wang, Dongqing, Yang, Guowei, Ding, Ruifeng

“…–Jenkins systems with finite measurement input/output data. Compared with the pseudo-linear regression stochastic gradient approach, the proposed algorithm updates…”
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Identification for Precision Mechatronics: An Auxiliary Model‐Based Hierarchical Refined Instrumental Variable Algorithm by Zhang, Chen, Liu, Yang, Liu, Kaixin, Song, Fazhi

“… Based on the maximum likelihood principle, the optimality conditions for the proposed identification algorithms are formulated for ACTARMA systems…”
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Convergence of the recursive identification algorithms for multivariate pseudo-linear regressive systems by Wang, Xuehai, Ding, Feng

“… stochastic gradient algorithm, for pseudo‐linear multivariate systems and proves that the parameter estimation errors consistently converge to zero under persistent excitation conditions…”
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Multiinnovation Least-Squares Identification for System Modeling by Feng Ding, Liu, Peter X, Guangjun Liu

“…A multiinnovation least-squares (MILS) identification algorithm is presented for linear regression models with unknown parameter vectors by expanding the innovation length in the traditional recursive least-squares (RLS…”
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Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms by Maduranga, M. W. P., Tilwari, Valmik, Abeysekera, Ruvan

“… Therefore, this study proposes a machine learning (ML)-based improved RSSI-based indoor localization approach in which RSSI data is first augmented and then classified using ML algorithms…”
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Recursive computational formulas of the least squares criterion functions for scalar system identification by Ma, Junxia, Ding, Rui

“… The proposed recursive computation formulas can be extended to the estimation algorithms of the pseudo-linear regression models for equation error systems and output error systems…”
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A New Absolute Encoder Design Based on Piecewise Pseudo-Linear Signals by Celik, Emre, Obdan, Atiye Hulya

“… by conventional sine-cosine encoders. The obtained pseudo-linear sections are made more linear through third-order polynomial regression…”
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Link Adaptation on an Underwater Communications Network Using Machine Learning Algorithms: Boosted Regression Tree Approach by Alamgir, M.S.M., Sultana, Mst. Najnin, Chang, Kyunghi

“…Interest in the study of next-generation underwater sensor networks for ocean investigations has increased owing to developing concerns over their utilization…”
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An l2-stable feedback structure for nonlinear adaptive filtering and identification by Sayed, Ali H., Rupp, Markus

“… in IIR modeling and more recent results in H ∞ theory. In particular, two algorithms due to Feintuch and to Landau, as well as the so-called pseudo-linear regression and Gauss-Newton algorithms, are discussed within the framework proposed here…”
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Pseudo-linear regression identification based on generalized orthonormal transfer functions: Convergence conditions and bias distribution by Vau, Bernard, Bourlès, Henri

“… This result is specific to pseudo-linear regression properties, and cannot be transposed to most of prediction error method algorithms…”
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Acoustic echo cancelation using a pseudo-linear regression and QR-decomposition by Harteneck, M., Stewart, R.W.

“…In this paper the problem of acoustic echo cancelation is addressed using an adaptive IIR filtering algorithm based on a QR decomposition and a pseudo-linear regression…”
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Adaptive IIR filtering using QR matrix decomposition by Harteneck, M., Stewart, R.W.

“…In this correspondence, an approach to adaptive IIR filtering based on a pseudo-linear regression and applying an iterative QR matrix decomposition is developed…”
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A new algorithm for state estimation of stochastic linear discrete systems by Ahmed, M.S.

“… The procedure performs explicit minimization of the innovation variance and is based upon the principle of pseudo linear regression (PLR) method…”
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New approach for kinetic parameters determination for hydrothermal oxidation reaction by Mateos, David, Portela, Juan R., Mercadier, Jacques, Marias, Frédéric, Marraud, Christine, Cansell, François

“… °C and at a constant pressure of 25 MPa. Three different methods, namely pseudo-first-order kinetics, multiple linear regression and Runge…”
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Artificial neural network models for fault detection and isolation of industrial processes by Józef Korbicz, Andrzej Janczak

“…The paper focuses on using of artificial neural networks in model-based fault detection and isolation. Modelling of a system both at its normal operation…”
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