Suchergebnisse - Limited memory recursive least squares algorithm

Parameter Identification of Lithium-ion Battery Equivalent Circuit Model Based on Limited Memory Recursive Least Squares Algorithm with Variable Forgetting Factor von Peng, Xianghua, Yin, Jingyuan, Sun, Longfei, Ye, Zeyu, Wei, Tongzhen

“… An equivalent circuit with second-order RC network is used to model lithium-ion battery, and a limited memory recursive least square with variable forgetting factor (VFF-LMRLS …”
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A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited memory least square algorithm von Wang, Chao, Wang, Shunli, Zhou, Jinzhi, Qiao, Jialu, Yang, Xiao, Xie, Yanxin

“… on limited memory recursive least square algorithm is proposed by establishing a second-order equivalent circuit model …”
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Online verification and management scheme of gateway meter flow in the power system by machine learning von Li, Chong, Wang, Hao, Shen, Hongtao, Yang, Peng, Wang, Yi, Li, Qian, Li, Chuan, Li, Bing, Guo, Rongkun, Wang, Ruiming

“… Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by …”
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An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries von Wang, Shunli, Wang, Chao, Takyi-Aninakwa, Paul, Jin, Siyu, Fernandez, Carlos, Huang, Qi

“… This paper designs a limited memory recursive least square algorithm to improve the accuracy of online parameter identification …”
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Improved adaptive fusion parameter identification and chaotic gravitational search-Kalman particle filtering method for state-of-energy accurate estimation of lithium-ion batteries von Wang, Chao, Wang, Shunli, Zhang, Gexiang, Chen, Lei, Shi, Haotian, Lin, Runxi, Fernandez, Carlos

“… Firstly, the adaptive forgetting factor-limited memory recursive extended least squares algorithm is designed by integrating the forgetting factor and the memory length factor to improve the accuracy …”
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An improved limited memory-Sage Husa-cubature Kalman filtering algorithm for the state of charge and state of energy co-estimation of lithium-ion batteries based on hysteresis effect-dual polarization model von Zhu, Chenyu, Wang, Shunli, Yu, Chunmei, Hai, Nan, Fernandez, Carlos, Guerrero, Josep M.

“… ) have lower filtering accuracy. This paper proposes an improved limited memory-Sage Husa-cubature Kalman (LM–SH–CKF …”
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An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries von Wang, Chao, Wang, Shunli, Zhang, Gexiang, Takyi-Aninakwa, Paul, Fernandez, Carlos, Tao, Junjie

“… the forgetting factor-limited memory recursive extended least square algorithm, which effectively improves …”
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Online assessment of failure probability for smart meters based on SARIMA-LTFRLS von Ma, Lisha, Teng, Zhaosheng, Meng, Zhiqiang, Tang, Qiu, Qiu, Wei

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Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters von He, Zhuoyao, Martín Gómez, David, de la Escalera Hueso, Arturo, Flores Peña, Pablo, Lu, Xingcai, Armingol Moreno, José María

“… Nevertheless, they are generally limited by poor flight endurance because of the limited energy density of their batteries …”
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A kind of MTPA control method for interior permanent magnet synchronous motor with parameter identification von Hao, Xiaodong, Shi, Haibo, Wang, Dongwen

“… this problem, this paper combines the least squares one-time algorithm and the recursive algorithm, and adopts the least …”
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Strong tracking adaptive window multi‐innovation cubature Kalman filter algorithm for lithium‐ion battery state of energy estimation von Lin, Lin, Wang, Shunli, Yang, Xiao

“… ‐memory recursive least squares (LM‐RLS) with strong tracking adaptive window Multi‐innovation cubature Kalman filtering (STW‐MCKF). In the LM …”
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The limited-memory recursive variational Gaussian approximation (L-RVGA) von Lambert, Marc, Bonnabel, Silvère, Bach, Francis

“… To address this problem we build on a recently introduced recursive algorithm for variational Gaussian approximation of the posterior, called recursive variational Gaussian approximation (RVGA …”
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Recursive Least Squares for Near-Lossless Hyperspectral Data Compression von Zheng, Tie, Dai, Yuqi, Xue, Changbin, Zhou, Li

“… This scheme predicts the target pixel’s value via a linear combination of previous pixels. The weight matrix of the predictor is iteratively updated using a recursive least squares filter with a loop quantizer …”
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Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking von Gao, Jin, Hu, Weiming, Lu, Yan

“… (the oldest samples are discarded). Despite many dedicated techniques proposed to somehow treat those issues, in this paper we take a new way to strike a compromise between them based on the recursive least-squares estimation (LSE) algorithm …”
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Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI von Moly, Alexandre, Aksenov, Alexandre, Martel, Félix, Aksenova, Tetiana

“… Motor Brain-Computer Interfaces (BCIs) create new communication pathways between the brain and external effectors for patients with severe motor impairments …”
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Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter von Wung, Jason, Jukic, Ante, Malik, Sarmad, Souden, Mehrez, Pichevar, Ramin, Atkins, Joshua, Naik, Devang, Acero, Alex

“… Since conventional batch MCLP-based dereverberation algorithms are not suitable for low-latency applications, a number of online variants based on the recursive least squares (RLS …”
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A Self-Adaptive Multikernel Machine Based on Recursive Least-Squares Applied to Very Short-Term Wind Power Forecasting von Bezerra, Erick C., Pinson, Pierre, Leao, Ruth P. S., Braga, Arthur P. S.

“… For this purpose, a novel self-adaptive approach for kernel recursive least-squares machines named multiple challengers is introduced in this work, which is successfully used to produce very short …”
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Realization on identification and compensation methods for the temperature model of hemispherical resonator gyro (HRG) von Yangguang Xie, Guoxing Yi, Yansheng Jia, Changhong Wang

“… For different application fields, the time series analysis method with multiple variables and limited memory recursive least square algorithm are employed, respectively …”
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Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation von Liang, Yingqi, Zhang, Junbo, Srinivasan, Dipti

“… ) algorithms are proposed and compared, including the ordinary MLS (OMLS), the weighted MLS (WMLS), the memory-limited OMLS …”
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Real-time battery SOC estimation under hybrid power conditions using fast-OCV curve with unscented Kalman filters von He, Zhuoyao, Gomez, David Martin, de la Escalera Hueso, Arturo, Lu, Xingcai, Armingol Moreno, Jose Maria, Pena, Pablo Flores

“… Unmanned aerial vehicles (UAVs) are drawing more and more attentions recent years and widely applied. Nevertheless, it is generally challenged by short time of …”
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