Suchergebnisse - weighted recursive least squares algorithm

Parameters estimation of BLDC motor based on physical approach and weighted recursive least square algorithm von Majdoubi, Rania, Masmoudi, Lhoussaine, Bakhti, Mohammed, Elharif, Abderrahmane, Jabri, Bouazza

“… The parameters are then used to elaborate the model of the motor established in Park’s reference frame. The second procedure is an online identification based on recursive least square algorithm …”
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Recursive weighted least squares estimation algorithm based on minimum model error principle von Lei, Xiaoyun, Zhang, Zhian

“… As to the problem that the accuracy of state estimation for nonlinear ballistic model strongly depends on its mathematical model, we improve the weighted least squares method (WLSM …”
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Power System Inertia Monitoring Using Recursive Weighted Least Square Algorithm Under Ambient Conditions von Zeng, Fanhong, Zhang, Junbo, Huang, Siwei

“… In this paper, we identify the transfer function model relating the active power to the bus frequency using recursive weighted least square (RWLS …”
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A Class of Weighted Quantized Kernel Recursive Least Squares Algorithms von Wang, Shiyuan, Wang, Wanli, Duan, Shukai

“… In this brief, a class of weighted quantized kernel recursive least squares (WQKRLS) algorithms is proposed to efficiently improve the performance of online applications …”
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A Unified Recursive Identification Algorithm with Quantized Observations Based on Weighted Least-Squares Type Criteria von Liu, Xingrui, Wang, Ying, Zhao, Yanlong

“… By reinterpreting the nonlinear effects induced by quantization as the product of the unknown parameter and an unknown nonlinear coefficient, this work establishes a novel weighted least-squares …”
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Ellipsoidal reachable sets of linear time-varying continuous and discrete systems in control and estimation problems von Balandin, Dmitry V., Biryukov, Ruslan S., Kogan, Mark M.

“… The paper is devoted to reachable sets of linear time-varying continuous or discrete systems under uncertain initial states and disturbances with a bounded …”
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A Comparative Study of Weighted Recursive Least Square Algorithm and Variable Forgetting Factor Recursive Least Square Algorithm for Parameter Estimation of Lithium-Ion Battery von Ghaly, Engy A., Abdel-Khalik, Ayman S., Hamdy, Ragi A.

“… The battery model is utilized alongside a Weighted Recursive Least Square (WRLS) algorithm for estimating battery parameters …”
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Evolving Fuzzy Models for Prosthetic Hand Myoelectric-based Control Using Weighted Recursive Least Squares Algorithm for Identification von Precup, Radu-Emil, Teban, Teodor-Adrian, Albu, Adriana, Borlea, Alexandra-Bianca, Zamfirache, Iuliu Alexandru, Petriu, Emil M.

“… This paper discusses the use of the weighted Recursive Least Squares (wRLS) algorithm in the identification of a set of evolving Fuzzy Models (FMs …”
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Recursive sample weighted – N-way partial least squares for brain-computer interface decoder online learning with class imbalance von Souriau, Rémi, Martel, Félix, Aksenova, Tetiana

“… This paper introduces a novel algorithm called Recursive Sample Weighted – N-way Partial Least Squares (RSW-NPLS …”
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One approach to temperature distribution control in thermal power plant boilers von Marjanović, Aleksandra, Vujnović, Sanja, Ðurović, Željko

“… Optimization of the combustion control process in a tangentially fired pulverized coal boiler, to achieve uniform temperature distribution, is discussed in the …”
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Estimation of nonstationary AR model using the weighted recursive least square algorithm von Milosavljevic, M.M., Veinovic, M.D., Kovacevic, B.D.

“… A new method of estimating time-varying AR models using weighted recursive least square algorithm with a variable forgetting factor is described …”
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Speech analysis using the weighted recursive least squares algorithm with a variable forgetting factor von Ting, Y.T., Childers, D.G.

“… A weighted recursive least-squares algorithm with a variable forgetting factor (WRLS-VFF) is introduced for speech signal analysis …”
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Virtual precession-enabled phase error mitigation in high-precision hemispherical resonator gyroscopes von Li, Yida, Li, Heng, Gao, Feng, Shan, Yanhu, Wang, Xiaoyi, Cao, Huiliang, Xie, Huikai

“… By employing an Exponentially Weighted Recursive Least Squares (EWRLS) algorithm during self-precession, we dynamically extract phase-delay errors and structural errors …”
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Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance von Xu, Liyan, Duan, Fabing, Gao, Xiao, Abbott, Derek, McDonnell, Mark D.

“… ). In this study, we extend the proposed optimal weighted decoding scheme to more general input characteristics by combining a Kalman filter and a least mean square (LMS …”
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A novel bias compensation recursive least square‐multiple weighted dual extended Kalman filtering method for accurate state‐of‐charge and state‐of‐health co‐estimation of lithium‐ion batteries von Qiao, Jialu, Wang, Shunli, Yu, Chunmei, Shi, Weihao, Fernandez, Carlos

“… ‐ion battery is taken as the research object, and a novel bias compensation recursive least square …”
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Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors von Kovačević, Branko, Banjac, Zoran, Kovačević, Ivana Kostić

“… In this paper, a new adaptive robustified filter algorithm of recursive weighted least squares with combined scale and variable forgetting factors for time-varying parameters estimation in non …”
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On the Recursive Algorithm of Bias Compensated Weighted Least Squares Method von Ikenoue, Masato, Kanae, Shunshoku, Wada, Kiyoshi

“… To be further developed in terms of estimation accuracy, the bias compensated weighted least squares (BCWLS …”
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A Self-Evolving Fuzzy System Which Learns Dynamic Threshold Parameter by Itself von Ge, Dongjiao, Zeng, Xiao-Jun

“… This paper proposes an online learning algorithm for data streams, namely self-evolving fuzzy system (SEFS …”
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Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications von Eliseyev, Andrey, Auboiroux, Vincent, Costecalde, Thomas, Langar, Lilia, Charvet, Guillaume, Mestais, Corinne, Aksenova, Tetiana, Benabid, Alim-Louis

“… A tensor-input/tensor-output Recursive Exponentially Weighted N-Way Partial Least Squares (REW-NPLS …”
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Evolving fuzzy predictor with multivariable Gaussian participatory learning and multi-innovations recursive weighted least squares: eFMI von Rodrigues, Fernanda Pereira Santos, Silva, Alisson Marques, Lemos, Andre Paim

“… The proposed model, called evolving fuzzy with multivariable Gaussian participatory learning and multi-innovations recursive weighted least squares, uses first-order Takagi-Sugeno functional rules …”
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