Suchergebnisse - Fading memory recursive least squares algorithm

A time-varying autoregressive model for groundwater depth prediction von Guo, Tianli, Song, Songbai, Yan, Yating

“… •A TVAR model is introduced to predict groundwater depth.•The implementation of parameter estimation of the TVAR model is summarized.•The TVAR exhibits better …”
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Discrete-Time Direct Model Reference Adaptive Control Application in a High-Precision Inertially Stabilized Platform von Deng, Ke, Cong, Shuang, Kong, Dejie, Shen, Honghai

“… This paper studies the practical use of discrete-time direct adaptive control in a high-precision inertially stabilized platform's turbulence isolation system …”
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Identification and application of data-driven superheated steam temperature system von Weng, Jiang, Wang, Yinsong, Sun, Tianshu

“… This article is based on data-driven concepts and focuses on field data. Fading memory recursive least square algorithm was used to establish a desuperheater model …”
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Multi-step predictive self-tuning excitation regulator of synchronous generator von Li, Xiao-Cong, Xu, Jun-Hua, Gu, Li-Ji, Tian, You-Fei, Li, Wen-Tao, Cong, Lan-Mei

“… generator nonlinear equation, by Fading Memory Recursive Least Square Algorithm. At the same time, we adopt a simple but effective method for offline estimation of b0, which is one of the model parameters as mentioned above …”
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Algorithms comparison on intraday index return prediction：evidence from China von Li, Xiang, Yuan, Xianghui, Yuan, Jin, Xu, Hailun

“… We introduce the fading memory recursive least squares (FM-RLS) and rolling window ordinary least squares (RW-OLS …”
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A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling von Liu, Donglei, Fan, Yongcun, Wang, Shunli, Xia, Lili, Qiu, Jingsong, Bobobee, Etse Dablu

“… Considering the aging characteristics of lithium batteries in use, the recursive least square method (FMRLS …”
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An improved parameter identification method considering multi-timescale characteristics of lithium-ion batteries von Yang, Zhao, Wang, Xuemei

“… In this paper, an improved parameter identification algorithm is proposed combining fixed memory recursive least squares (FMRLS …”
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Terminal height estimation using a Fading Gaussian Deterministic filter von de Angelis, Emanuele L., Ferrarese, Gastone, Giulietti, Fabrizio, Modenini, Dario, Tortora, Paolo

“… The algorithm is based on a set of equations derived from the minimization of a cost function where earlier data are progressively de-weighted by a fading factor …”
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Power System Sensitivity Matrix Estimation by Multivariable Least Squares Considering Mitigating Data Saturation von Liang, Yingqi, Zhang, Junbo, Srinivasan, Dipti

“… To online estimate the power system sensitivity matrix considering mitigating data saturation, a series of multivariable least-squares (MLS …”
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Multistage RLS Subcarrier-Combining Method for Uplink Quasi-Synchronous MC-CDMA von Fujii, T., Kamiya, Y., Suzuki, Y.

“… In this paper, in order to reduce the number of pilot symbols for uplink MC-CDMA systems, we propose a multistage recursive-least-square (MS-RLS …”
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Model identification of SCR denitration system for 600MW thermal power unit von Yinsong Wang, Jing Zhao, Xiangwei Zhu, Yang Jiao

“… In this paper, a new fading memory recursive least square (FMRLS) algorithm is proposed based on the squared error loss function (SELF …”
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On-Orbit Identification of Unstable Micro-Propulsion System Parameters Using Drag-Free Control von Xu, Nuo, Xia, Xiwang, Li, Zhaoxiong, He, Xiongfeng, Guo, Ning, Wang, Pengcheng, Zhang, Yonghe

“… Adaptive forgetting factors are added to the covariance matrix for designing a fading memory window to determine the influence of prior data on the results …”
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New fading memory fast SRLS algorithm for 2-D SAR model parameter estimation von Ping-Ya Zhao, Litva, J.

“… We present a new fast spatially recursive least-squares (SRLS) algorithm with exponentially fading memory for adaptive estimation of two-dimensional (2-D …”
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A novel modified PID controller applied to temperature control with self-tuning ability von Yu, Enxiang, Hu, Yundou

“… It puts the model parameter online identification and controller online design organic unifies in together, parameter identification using fading memory recursive least squares algorithm …”
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A Regression-Based Technique for Capacity Estimation of Lithium-Ion Batteries von Madani, Seyed, Soghrati, Raziye, Ziebert, Carlos

“… Electric vehicles (EVs) and hybrid vehicles (HEVs) are being increasingly utilized for various reasons. The main reasons for their implementation are that they …”
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Research of Polymerization Temperature Control Based on Improved GPC von Yanfei Ye, Bailin Wang, Mingheng Shao, Yongqi Zhang

“… parameters based on the recursive least square algorithm with fading memory. Secondly, the paper introduces an improved generalized predictive control (GPC …”
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An Exponentially-Weighted Probabilistic Data Association Filter for Maneuvering Targets von Carroll, Robert L., Mayor, Marco A.

“… The real-time algorithm combines a fading memory probabilistic data association filter and a recursive least-squares estimation procedure to estimate the state and the acceleration of the maneuvering target …”
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A novel SOC estimation method for Li-ion batteries based on improved Kalman filter with parameter online identification von Xiong Yonghua, Yang Yan, He Yong, Wu Min, An Jianqi

“… recursive lease squares algorithm is presented to online identify the concerned parameters of battery model which is indispensable on the process …”
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Improved generalized predictive control in polymerization process von Ye Yanfei, Wang Bailin, Shao Mingheng, Zhang Yongqi

“… ) signal, and identify the model using the recursive least square algorithm with fading memory …”
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Adaptive equalization in hybrid DS-TH CDMA system using State-Space RLS with Adaptive Memory von Zeeshan, Muhammad, Khan, Muhammad Waqas

“… This is achieved by using the hybrid Direct Sequence Time Hopped CDMA (DS-TH CDMA) systems. In this paper, a novel usage of State-Space Recursive Least Squares with Adaptive Memory (SSRLSWAM …”
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