Search Results - "Recursive least square algorithm"

State-of-health estimation and remaining useful life prediction for lithium-ion batteries based on an improved particle filter algorithm by Hong, Shiding, Qin, Chaokui, Lai, Xin, Meng, Zheng, Dai, Haifeng

“…State-of-health (SOH) and remaining useful life (RUL) are vital indicators closely related to the safety of lithium-ion batteries (LIBs). In this study, an…”
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Model-Free Predictive Control for PMSM Drives Using Ultra-Local With Poincaré Mapping Causality by Wei, Yao, Chen, Yuanhang, Garcia, Cristian, Yin, Zhonggang, Wang, Fengxiang, Rodriguez, Jose

“…Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by…”
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Computation of the largest positive Lyapunov exponent using rounding mode and recursive least square algorithm by Peixoto, Márcia L.C., Nepomuceno, Erivelton G., Martins, Samir A.M., Lacerda, Márcio J.

“…•A simple and robust method to compute the largest Lyapunov exponent is presented.•Rounding mode is used to produce two pseudo-orbits.•Recursive least square…”
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Adaptive thermal error prediction for CNC machine tool spindle using online measurement and an improved recursive least square algorithm by Wei, Xinyuan, Ye, Honghan, Wang, Gao, Hu, Weidong

“…Establishing models for predicting and compensating for spindle thermal errors is cost-effective and necessary to improve the accuracy of machine tools for…”
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Finite–time identification of the Thévenin equivalent parameters in power grids by Arancibia, Arnaldo, Soriano–Rangel, Carlos A., Mancilla–David, Fernando, Ortega, Romeo, Strunz, Kai

“…•Noninvasive online identification of Thévenin equivalent parameters in ac power grids.•Ensured convergence of estimated parameters within finite…”
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Passive time reversal acoustics for horizontal shallow water acoustic communication to mitigate the effect of intersymbol interference by Malarkodi, A., Latha, G., Srinivasan, S.

“…Open ocean shallow water channels are characterized to be time varying, dispersive and multipath environment causes severe Inter Symbol Interference (ISI)…”
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Insulation fault monitoring of lithium-ion battery pack: Recursive least square with adaptive forgetting factor by Tian, Jiaqiang, Yin, Jianning

“…The large-scale and high voltage of lithium-ion battery packs have brought severe challenges to the insulation performance of the system. An effective…”
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Identification of linear time-varying fractional order systems using block pulse functions based on repetitive principle by Zhang, Bo, Tang, Yinggan, Lu, Yao

“…A novel method for identifying linear time-varying fractional order systems based on a repetitive principle is proposed in this study. According to the…”
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Design and Implementation of Parameter Estimation and Start Control of Brushless Synchronous Starter/Generators Under Sudden Excitation Change by Mao, Shuai, Liu, Weiguo, Jiao, Ningfei, Luo, Guangzhao, Jiang, Yu, Hu, Ying

“…The stator winding structure of the main exciter of the brushless synchronous starter/generator (BSSG) is changed at high speed for flux weakening, leading to…”
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Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms by Vyas, Bhargav Y., Das, Biswarup, Maheshwari, Rudra Prakash

“…This paper presents the Chebyshev neural network (ChNN) as an improved artificial intelligence technique for power system protection studies and examines the…”
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A self-organizing fuzzy neural network modeling approach using an adaptive quantum particle swarm optimization by Zhou, Hongbiao, Li, Yang, Xu, Haoyuan, Su, Yan, Chen, Lianghai

“…To enhance the model’s flexibility, this study proposes a self-organizing fuzzy neural network (SOFNN) modeling methodology based on an adaptive quantum…”
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Integration of optimized feedrate into an online adaptive force controller for robot milling by Xiong, Gang, Li, Zhou-Long, Ding, Ye, Zhu, LiMin

“…Maximum resultant cutting force control provides a great benefit of improving productivity in machining tasks. This paper presents a new force control method…”
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Performance analysis of a robust MF-PTC strategy for induction motor drive by Hossen, Md. Belal, Habibullah, Md

“…The load model-based conventional predictive torque control (PTC) strategy performs as a high-performance controller at transient and steady-state conditions…”
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A linear recursive state of power estimation method based on fusion model of voltage and state of charge limitations by Li, Bowen, Wang, Shunli, Fernandez, Carlos, Yu, Chunmei, Xia, Lili, Fan, Yongcun

“…•A parameter analysis method under complex changes is established.•A compound model with multiple limiting factors is created.•The dynamic online tracking…”
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A real-time estimator for model parameters and state of charge of lead acid batteries in photovoltaic applications by Loukil, Jihen, Masmoudi, Ferdaous, Derbel, Nabil

“…The intermittent nature of photovoltaic energy source has revealed concerns about the stability of the power electric system. For that, a massive use of…”
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Study on RLS-Type Algorithm of GPS-Guided Range Correction by Chen, Jun, Du, Zhonghua, Shen, Jian

“…Mitigating the error of GPS measurement signals is essential for the range precision of GPS-guided range correction projectile. In order to improve the range…”
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Adaptive online state-of-charge determination based on neuro-controller and neural network by Shen, Yanqing

“…This paper presents a novel approach using adaptive artificial neural network based model and neuro-controller for online cell State of Charge (SOC)…”
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Adaptive pulsar time delay estimation using wavelet-based RLS by Kang, Zhiwei, He, Hongcai, Liu, Jin, Ma, Xin, Gui, Mingzhen

“…Pulsar time delay needs to be quickly and accurately estimated. In this study, a novel pulsar time delay estimation (PTDE) method based on the wavelet…”
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Extracting Fetal ECG Signals through a Hybrid Technique Utilizing Two Wavelet-Based Denoising Algorithms by Darsana, P, Kumar, Vaegae Naveen

“…Developing an intelligent technique for fetal heartbeat detection to monitor the cardiac function of the fetus in the initial stages of preganancy is crucial…”
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Iterative learning based model identification and state of charge estimation of lithium-ion battery by Zhu, Qiao, Chen, Jun-Xiong, Xu, Meng-En, Zou, Chen

“…This work focuses on the accurate identification of lithium-ion battery's non-linear parameters by using an iterative learning method. First, the second-order…”
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