Suchergebnisse - improved recursive square algorithm

Parameter identification of a lithium-ion battery based on the improved recursive least square algorithm von 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 …”
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Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm von Wei, Xinyuan, Ye, Honghan, Wang, Gao, Hu, Weidong

“… to adapt to dynamic conditions. Therefore, an adaptive thermal error modeling method using online measurement and an improved recursive least square algorithm is proposed to fill this research gap, which updates the thermal error …”
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Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm von Han, Min, Zhang, Shuhui, Xu, Meiling, Qiu, Tie, Wang, Ning

“… Kernel recursive least squares (KRLS) is a kind of kernel methods, which has attracted wide attention in the research of time series online prediction …”
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An Improved Recursive Least Square Algorithm For Adapting Fuzzy Channel Equalizer von Zerdoumi, Zohra, Abdou, Latifa, Bdirina, Elkhanssa

“… The followed approach is based on a regularization of the Recursive Least Square (RLS) algorithm and an incorporation of fuzzy rules in the adaptation process …”
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Resonance Suppression of a Maglev Inertially Stabilized Platform Based on an Improved Recursive Least Square Algorithm von Shi, Wanfa, Liu, Kun, Wei, Jingbo

“… In this study, the forgetting factor in the recursive least squares (RLS) algorithm was improved to estimate the resonance frequency online …”
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Improved Kernel Recursive Least Squares Algorithm based Online Prediction for Nonstationary Time Series von Guo, Jinhua, Chen, Hao, Chen, Songhang

“… We present an improved kernel recursive least squares (KRLS) algorithm for the online prediction of nonstationary time series …”
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Improved model‐free adaptive predictive control based on recursive least‐squares estimation algorithm von 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 …”
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New Improved Recursive Least-Squares Adaptive-Filtering Algorithms von Bhotto, M. Z. A., Antoniou, A.

“… Two new improved recursive least-squares adaptive-filtering algorithms, one with a variable forgetting factor and the other with a variable convergence factor are proposed …”
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State of charge estimation of lithium-ion battery based on improved forgetting factor recursive least squares-extended Kalman filter joint algorithm von Ge, Caian, Zheng, Yanping, Yu, Yang

“… A joint algorithm of improved forgetting factor recursive least squares and extended Kalman filter (EKF …”
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An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation von Hao, Xueyi, Wang, Shunli, Fan, Yongcun, Xie, Yanxin, Fernandez, Carlos

“… Taking the ternary lithium battery as the research object, we present an improved forgetting factor recursive least square (IFFRLS …”
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Voltage Security Operation Region Calculation Based on Improved Particle Swarm Optimization and Recursive Least Square Hybrid Algorithm von Saniye Maihemuti, Weiqing Wang, Haiyun Wang, Jiahui Wu

“… ) of power systems, which has become a topic of increasing interest lately. In this paper, a novel improved particle swarm optimization and recursive least square (IPSO-RLS …”
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An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation von Shen, Xianfeng, Wang, Shunli, Yu, Chunmei, Li, Zehao, Fernandez, Carlos

“… and propose a hybrid approach that combines a particle swarm optimization-based forgetting factor recursive least squares …”
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State-of-health estimation and remaining useful life prediction for lithium-ion batteries based on an improved particle filter algorithm von Hong, Shiding, Qin, Chaokui, Lai, Xin, Meng, Zheng, Dai, Haifeng

“… ). In this study, an online capacity estimation and offline RUL prediction methods based on an improved particle filter and recursive-least-square (PF-RLS …”
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Inertia Evaluation Method of Doubly-Fed Wind Turbine Based on Improved Recursive Least Squares Algorithm von Wang, Guoyan, Yang, Libin, Li, Zhengxi, Wang, Kai

“… This paper proposes a method for evaluating the inertia time constant of wind turbine based on an improved recursive least squares method …”
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A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries von Shen, Xianfeng, Wang, Shunli, Yu, Chunmei, Qi, Chuangshi, Li, Zehao, Fernandez, Carlos

“… In this paper, we propose a forgotten factor recursive least squares (FFRLS) method based on the beluga whale optimization (BWO …”
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An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries von Zhu, Chenyu, Wang, Shunli, Yu, Chunmei, Zhou, Heng, Fernandez, Carlos

“… control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering (PCFFRLS-MCAEKF …”
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An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries von Long, Tao, Wang, Shunli, Cao, Wen, Zhou, Heng, Fernandez, Carlos

“… This paper proposes an improved variable forgetting factor recursive least square-double extend Kalman filtering algorithm based on global mean particle swarm optimization to obtain a stable …”
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Lithium battery state of charge estimation based on improved variable forgetting factor recursive least squares method and adaptive Kalman filter joint algorithm von Zhao, Jinhui, Qian, Xinxin, Jiang, Bing

“… ) estimation is crucial to battery life and safety. As the traditional recursive least squares method cannot adapt well to complex variable current conditions, this paper proposes a SOC estimation method that combines the improved variable forgetting …”
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Improved recursive least squares algorithm based on echo state neural network for nonlinear system identification von Song Qingsong, Zhao Xiangmo, Feng Zuren

“… In order to model nonlinear systems with more accuracy, and to further exploit the potential capacities of recurrent neural networks, we propose a novel recursive least square (RLS …”
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Improved Steady State Analysis of the Recursive Least Squares Algorithm von Moinuddin, Muhammad, Al-Naffouri, Tareq Y., Ai-Hujaili, Khaled A.

“… This paper presents a new approach for studying the steady state performance of the Recursive Least Square (RLS …”
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