[PDF] Top 20 ON-LINE PARAMETER INTERVAL ESTIMATION USING RECURSIVE LEAST SQUARES
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ON-LINE PARAMETER INTERVAL ESTIMATION USING RECURSIVE LEAST SQUARES
... A bank of recursive least-squares (RLS) estimators is proposed for the estimation of the uncertainty intervals of the parameters of an equation error model (or R[r] ... See full document
12
Recursive Generalized Total Least Squares with Noise Covariance Estimation
... a recursive generalized total least-squares (RGTLS) estimator that is used in parallel with a noise covariance estimator (NCE) to solve the errors-in-variables problem for multi-input-single-output ... See full document
6
Enhanced Performance of Narrowband Power Line Communications using Recursive Least Squares Filter
... power line communication channel tend to distort the message signals, leading towards the reception of erroneous data at the receiver ...power line has always been of prime interest and helped to improve ... See full document
10
Adaptive Beamforming Using the Recursive Least Squares Algorithm on an FPGA
... This thesis describes the design and implementation of a five-channel beamformer us- ing a Space-Time Adaptive Processing (STAP) filter with Recursive Least Squares (RLS) as the adaptive algorithm. ... See full document
103
A Recursive Restricted Total Least-squares Algorithm
... total least squares (GTLS) problem with a singular noise covariance matrix is equivalent to the restricted total least squares (RTLS) problem and propose a recursive method for its ... See full document
11
Recursive Least-Squares Learning with Eligibility Traces
... learning least squares algorithms of the literature (LSTD [5], LSPE [15], FPKF [7] and GPTD [8]/KTD [10]) to off-policy learning with eligibility ...their recursive implementation, discuss their ... See full document
13
Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
... Zuse Institute Berlin (ZIB), Berlin, Germany. Corporate Research and Development, IHI Co.,Ltd., Yokohama, Japan. Email: [email protected]; [email protected]; [email protected]; masakazu ... See full document
9
The widely linear quaternion recursive total least squares
... total least squares (TLS) is known to yield a better approximate and robust solution to systems of linear equations, when the variables of both sides are contaminated by noise ...real-time estimation ... See full document
5
Recursive Least Squares for a Manipulator which Learns by Demonstration
... In this work, a control system is developed to allow a manipulator to learn and plan trajectories from demonstrations given by the hand of an user. The input of data is acquired by a sensor, and its behavior is learned ... See full document
12
Stochastic Gradient versus Recursive Least Squares Learning
... gain, Recursive Least Squares and Stochastic Gradient learning, in a Phelps model of a monetary policy which has been extensively studied ...Stochastic Recursive Algorithm which describes RLS ... See full document
24
The Use of Recursive Least Squares Method for Vehicle Dynamics Analysis
... The estimation methods are specified in the chapter ...linear least squares method, subsequently the nonlinear and weighted least squares ...The least squares method was ... See full document
79
Maneuvering target tracking using fuzzy logic based recursive least squares filter
... standard recursive least squares filter (RLSF) [17,18] is quite well received in linear models with the unknown random characteristics of observa- ... See full document
9
Recursive least squares background prediction of univariate syndromic surveillance data
... prediction using our week- day-corrected, recursive least squares prediction method, using a 1 year training period for the day of the week cor- ...on using the first year of ... See full document
8
Parameter identification of a parametrically excited rate micro-gyroscope using recursive least squares method
... As it is written in the paper, it is necessary to measure X, Y , ~a x , ~a y , and time (t) online and accurate, here. The oscillation frequency of the proof mass in the gyroscope is more than 10 KHz. If data acquisition ... See full document
12
Reduced Fuzzy Recursive Least-Squares Algorithm For Real Time Estimation
... In literature, system identification is a diverse field that can be presented in various ways. Generally, it consists of three basic entities: (i) the data set, (ii) the model structure, and (iii) the model validation ... See full document
47
Completely Recursive Least Squares and Its Applications
... unique RLS initialization, namely (parameter) observability analysis (or rank check) in engineering. In previous work, observability analysis usually requires extra numerical or topological analysis [Chan87] ... See full document
152
Floating point error analysis of recursive least squares and least means squares adaptive filters
... This sequence is a zero mean white independent random process which has a variance related to signal statistics, the weight vector covariance, and the floating point errorso The calculat[r] ... See full document
27
High sample rate Givens rotations for recursive least squares
... Figure 1.5 shows a signalfiow graph (SFG) of the QR-array cells implemented using standard arithmetic operators. The conventional.. Givens rotation algorithm has been used, and the e[r] ... See full document
245
Decision Directed Recursive Least Squares MIMO Channels Tracking
... in estimation and tracking of spatial multiplexed MIMO channels based on the RLS algorithm is presented and then combined with the DDA algorithm with ML and MMSE detection to operate in the blind mode operation as ... See full document
10
Coefficient rounding and truncation effects on recursive least squares algorithms
... This section deals with the derivation of the statistical word length (SWL) required to quantize the Kalman gain vector elements in order to meet certain performance measures.. The metho[r] ... See full document
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