Výsledky vyhledávání - forgetting factor recursive past squares algorithm~

A New Variable Forgetting Factor-Based Bias-Compensation Algorithm for Recursive Identification of Time-Varying Multi-Input Single-Output Systems With Measurement Noise Autor Chan, Shing-Chow, Lin, Jian-Qiang, Sun, Xu, Tan, Hai-Jun, Xu, Wei-Chao

“…This article proposes a new variable forgetting factor (VFF) bias-compensated recursive least-squares (BCRLS…”
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A New Local Polynomial Modeling Based Variable Forgetting Factor and Variable Regularized PAST Algorithm for Subspace Tracking Autor Chan, Shing-Chow, Tan, Hai-Jun, Lin, Jian-Qiang, Liao, Bin

“…) and variable regularized (VR) projection approximation subspace tracking (PAST) algorithm, which is based on a novel VR-VFF recursive least squares (RLS…”
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A Variable Regularized Recursive Subspace Model Identification Algorithm With Extended Instrumental Variable and Variable Forgetting Factor Autor Lin, Jian-Qiang, Chan, Shing-Chow, Tan, Hai-Jun

“… (LPM)-based variable FF EIV projection approximation subspace tracking (PAST) and multivariate recursive least squares algorithms for estimating respectively…”
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Data-Driven Adaptive Steady-State-Integral-Derivative Controller using Recursive Least Squares with Performance Conditions Autor Lee, Jeongwoo, Oh, Kwangseok

“…This paper presents a data-driven adaptive steady state-integral-derivative (SS-ID) control algorithm that uses gradient descent and recursive least squares…”
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Recursive Identification of Nonlinear Hammerstein Systems With FIR Linear Parts Under Impulsive Noise With Model Selection and Order Determination Autor Lin, Jianqiang, Chan, Shing-Chow

“…) and alternating least squares (ALS) algorithms to recursive forms and integrates their advantages via a simplified model selection scheme, which significantly improves the convergence speed and steady-state mean squared error (MSE) performance…”
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A Robust Variable Forgetting Factor QS-decomposition Algorithm for Subspace Tracking Autor Lin, J. Q., Chan, S. C.

“…) algorithm and the recursive least squares (RLS) with multiple outputs, the local optimal forgetting factor (LOFF…”
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Adaptive tracking of system oscillatory modes using an extended RLS algorithm Autor Moreno, I., Messina, A.R.

“… In this research, a nonstationary recursive least-squares (RLS) algorithm with variable forgetting factor is combined with a Kalman…”
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Performance analysis of multi-innovation gradient type identification methods Autor Ding, Feng, Chen, Tongwen

“… a multi-innovation stochastic gradient (MISG) algorithm and a multi-innovation forgetting gradient (MIFG) algorithm…”
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Multiinnovation Least-Squares Identification for System Modeling Autor 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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Bilateral teleoperation control using recursive least squares filter with forgetting factor Autor Bhardwaj, Akshay, Agarwal, Vijyant, Parthasarathy, Harish

“…In this research, we have designed and implemented recursive least squares (RLS) algorithm in master slave tracking on Geomagic® Touch™ (Phantom Omni) haptic device…”
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Robust Adaptive Fading Unscented Kalman Filter for Decentralized Dynamic State Estimation in Power Systems Under Unknown Inputs and Covariance Mismatches Autor Chai, Bo, Chan, Shing Chow, Hou, Yunhe

“… A simple trace operation-based and a least squares-based approaches are proposed for estimating the fading factors, which are further tracked using a low order KF or a lower complexity recursive least squares algorithm…”
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Directional Forgetting for Stable Co-Adaptation in Myoelectric Control Autor Yeung, Dennis, Farina, Dario, Vujaklija, Ivan

“… to the recursive least-squares algorithm as opposed to the classic…”
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A fuzzy compensation mechanism in FFRLS-based adaptive MPC strategy Autor Xue, Meisheng, Tao, Chenggang, Zhuge, Jinjun

“… Therefore, an online adaptive model for MPC has been preferred in past years. This paper addressed a performance improving problem of Forgetting Factor Recursive Least Square(FFRLS…”
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A Localized Forgetting Method for Gaussian RBFN Model Adaptation Autor Yu, D. L.

“… The method is applied in conjunction with the recursive orthogonal Least Squares algorithm and the computing is consequently very efficient…”
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Consistency Evaluation of Electric Vehicle Battery Pack: Multi-feature Information Fusion Approach Autor Tian, Jiaqiang, Chang, Guoyi, Liu, Xinghua, Wei, Zhongbao, Wen, Haibing, Yang, Lei, Wang, Peng

“… An adaptive forgetting factor recursive least squares (AFFRLS) algorithm is developed using…”
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A directional forgetting factor for single-parameter variations Autor Woo, W.W., Svoronos, S.A., Crisalle, O.D.

“…Use of the recursive least-squares algorithm to track parameters that may undergo slow or sudden changes requires refinements to prevent excessive gain decay and the loss of the ability to re-identify parameters…”
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An adaptive Kalman filter for the enhancement of speech signals in colored noise Autor Gabrea, M.

“…) process and represented in the state-space domain. In the above context, all the Kalman filter-based approaches proposed in the past, operate in two steps…”
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NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H∞ filter Autor Sahoo, H.K., Dash, P.K., Rath, N.P.

“… The past input and output samples are modeled as a nonlinear NARX process and robust H∞ filter is proposed as the learning algorithm…”
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Control System Design for an Upper-Limb Rehabilitation Robot Autor Xu, Guozheng, Song, Aiguo, Li, Huijun

“… The Barrett WAM Arm manipulator is used as the main hardware platform for the functional recovery training of the past-stroke patient…”
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Soft-sensor for alkaline solution concentration of evaporation process Autor Yonggang Wang, Jinliang Ding, Tianyou Chai

“… soft sensor model by adding forgetting factor to moving window based on recursive partial least square…”
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