adaptive model estimation method
Speed Estimation of an Induction motor using Model Reference Adaptive Control
... However, when high performance dynamic operation is required, these methods are unsatisfactory. Therefore, more sophisticated control methods are needed to make the performance of the induction motor better than that of ...
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Prediction of Rural Residents’ Consumption Expenditure Based on Lasso and Adaptive Lasso Methods
... of model is large, the Lasso method and the Adaptive Lasso me- thod can effectively select ...Lasso method and the Adaptive Lasso ...the Adaptive Lasso method is better ...
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Adaptive Design for Intra Patient Dose Escalation in Phase I Trials in Oncology
... Single Trial Properties Comparison with CRM Sequential Adaptive design Table of Contents 1 Introduction 2 Methodology Method Model Flexibility Estimation 3 Numerical Results. Single Tria[r] ...
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Study of Adaptive Model Parameter Estimation for Milling Tool Wear
... and model. In some general methods, an explicit model is built by using Multivariate Linear Regression analysis method [11] and [12] or an implicit model by using the Neural Network ...MLR ...
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SENSORLESS SPEED ESTIMATION TECHNIQUE FOR PMSM
... SPEED ESTIMATION OF PMSM USING MODEL REFENCE ADAPTIVE SYSTEM Estimation can be defined as the determination of constants or variables for any system, according to a performance level and based ...
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Variable selection in partially linear wavelet models.
... iterative estimation method for the nonparametric part of the model would keep all but one component fixed to estimate the remaining functions, and then iterate until ...
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An Adaptive LMS Channel Estimation Method for LTE SC-FDMA Systems
... a model has been established, its parameters need to be estimated in order to minimize the error as the channel ...An adaptive algorithm is a process that changes its parameters as it gain more information ...
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Research on Moving Target Imaging Method of Ship Based on Velocity Synthetic Aperture Radar
... accurate estimation of Doppler parameters of moving ...VSAR method extracts velocity information from the phases and performs a discrete Fourier transform (DFT) operation on the corresponding pixels in the ...
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A new technique for fault detection in induction motor
... current estimation uses estimation uses d- and q-axes currents and is independent of the switching states of the three-leg ...available model reference adaptive system (MRAS) based ...proposed ...
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Identification of System with Bouc-Wen Hysteresis
... proposed model considers features of the considered ...6]. Adaptive algorithms were proposed in [8, 9] for the BWM parameters estimation with the data forgetting ...an adaptive on-line ...
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An adaptive data filtering model for remaining useful life estimation
... the model devel- oped for the PHM08 data challenge that would otherwise be ambiguous due to the high risk of one-time ...developed model could be tested in terms of whether its application is compatible ...
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Aerodynamic parameters identification and adaptive LADRC attitude control of quad-rotor model
... quad-rotor model, the change of model parameters with external interference affects the control performances, an aerodynamic parameter estimation method and an adaptive attitude control ...
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State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models
... second method is a least squares method and is detailed in Section ...the model is identifiable from the distribution of three consec- utive observations when the emission distributions are linearly ...
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Estimation of the Microscope Point Spread Function by Using an Adaptive Image Deblurring Method
... probability model of the latent image, PSF, and ...a method to estimate the blur mask from a blurred image by regularizing the sparsity speciality of natural ...on adaptive RL algorithm, the results ...
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Item response theory model with testlet effects: A simulation study investigation of effectiveness in small sample sizes
... the model would claim to find the underlying true value more frequently than is actually ...testlet model will be higher than the true ...bad model functioning, since under the marginal testlet ...
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An adaptive estimation of MAVE
... variance estimation (SAVE; [11]), principal Hessian directions (PHD; [15]), and contour regression (CR; [19]) are among the methods to estimate the dimension reduction subspace through the inverse conditional ...
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High-Resolution Source Localization Algorithm Based on the Conjugate Gradient
... Array processing deals with the problem of extracting infor- mation from signals received simultaneously by an array of sensors. In many fields such as radar, underwater acoustics and geophysics, the information of ...
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Short term spectral estimation with applications
... of adaptive control applied to a problem in metrology [Balmer (1), Balmer et al (2), Balmer and Douce ...the adaptive system concerned was based on time domain criteria; the analysis of the system was ...
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Non parametric Estimation of GARCH (2, 2) Volatility model: A new Algorithm
... an estimation approach for non-parametric GARCH (2, 2) volatility ...multivariate adaptive regression splines(MARS) model estimation algorithm proposed by Chung (2012) and an algorithm ...
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Research and application of estimation method for software cost estimation based on Putnam model
... Estimation and cost budget are always made together, for cost budget is the purpose of estimate, without estimate, there is no possible to make cost budget. In software industry, software cost estimate is always ...
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