parameter estimation techniques
Parameter estimation techniques for a class of nonlinear hysteresis models
... models, parameter estimation techniques, and model-based control designs which incorporate the nonlinear hysteresis mechanisms in a manner which facilitates subsequent ...
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Parameter estimation techniques for a polarization hysteresis model
... This paper focuses on the development of parameter estimation techniques for models quantifying hysteresis and constitutive nonlinearities in ferroelectric materials. These models are formulated as ...
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Development of a Novel Residual Formulation of CTF and Application of Parameter Estimation Techniques.
... The motivation of this work is to transition a legacy thermal hydraulic subchannel code, Coolant Boiling in Rod Arrays–Three Field (COBRA-TF), towards more modern BEPU methods. This goal will be achieved via two ...
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Efficient parameter estimation techniques for hysteresis models
... the estimation or re-estimation of parameters in a manner that is both efficient and ...discuss techniques to estimate densities in the homogenized energy model based on Galerkin expansions using ...
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State and parameter estimation techniques for stochastic systems
... 2.5.3 Non-linear filtering for continuous time systems We are considering the complete probability space Q $, P and are attempting to compute the least squares estimate of the state of t[r] ...
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Design Methodology for Multichannel Communication Systems
... developing parameter estimation techniques that complies with the available measured ...structure. Parameter estimation of these structures is usually based on measuring the first and ...
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Optimization of Tremblay's battery model parameters for plug in hybrid electric vehicle application
... QPSO parameter estimation ...QPSO parameter estimation ...QPSO parameter estimation techniques are assessed in terms of RWRSS value, which is also presented in Table ...
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Parameter Identifiability and Parameter Estimation of a Diesel Engine Combustion Model
... The main objective of this paper is to give an efficient procedure for a numerical estimation of parameters. This procedure begins with input-output-parameter relations. Often these relations require the ...
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A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver
... Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) ...
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Comparison Of Speed Estimation And Parameter Identifcation Of Induction Motor Using PID, PWM And Cascaded Control Techniques
... In this paper a sensorless rotor speed estimation and parameter identification algorithm is presented. The algorithm is designed specifically for induction motor (IM) drive. Its peculiarity is that it is ...
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Abduction as Incomplete Parameter Estimation
... As a result of the numerical analyses, the IEP follows a Cauchy distribution, which has a power law of the slop -2 in the tail, although conventionally estimated parameter is normally distributed. The Cauchy ...
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On parameter estimation and validation of dengue epidemic in Tanzania
... likelihood estimation is used to determine the best fitting of the ...Tanzania. Parameter values were obtained from the different literatures like (Rodrigue et ...Other parameter values are estimated ...
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Parameter Estimation for LDA Frames
... The original LDA-frames algorithm has two pa- rameters that must be predefined – number of frames and number of roles – which is the most limiting property of the algorithm. A simple cross-validation approach can be used ...
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Recursive parameter estimation for semimartingales
... The kernel function and convolution-smoothing methods developed to estimate a probability density function and distribution are essen- tially a way of smoothing the empirical distributio[r] ...
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Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques
... When studying systems in interactive and online fashion, it is of high relevance to facilitate fast information gain during the interaction (Fedorov, 1972; Cohn, 1994). As an example, consider experiments aiming at the ...
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Diectromagnetic interrogation techniques for damage detection
... new techniques and instruments to improve the accuracy and efficiency of locating and characterizing sub- surface ...existing techniques, can help decrease the total computational time required to detect ...
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Burr type III Software Reliability Growth Model with Interval Domain Data
... One of the most difficult problems of software industry is to ship a reliable product. Therefore it is necessary to have accurate and fast estimation techniques for verifying software reliability. Software ...
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On closure parameter estimation in chaotic systems
... Most implementations of the EnKF involve random pertur- bations of the model states and observations. This introduces randomness in the likelihood function (27): two evaluations with the same parameter value give ...
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Assessing the Convergence of Iterative Parameter Estimation
... of parameter space using Monte Carlo methods to choose new ILE samples prevents the catastrophe of resolving spin parameters with only an initial ...Exploring parameter space using Puff can also be useful ...
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Parameter Estimation of Exciation Systems
... Optimization Tool box is a collection of routines that extend the capability of MATLAB for problems as nonlinear minimization, equation solving and curve fitting. [3] And the PE toolbox is actually an interface which has ...
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