[PDF] Top 20 Parameter estimation techniques for a polarization hysteresis model
Has 10000 "Parameter estimation techniques for a polarization hysteresis model" found on our website. Below are the top 20 most common "Parameter estimation techniques for a polarization hysteresis model".
Parameter estimation techniques for a polarization hysteresis model
... exhibit hysteresis and constitutive nonlinearities which must be incorporated in models and model-based control algorithms to achieve the novel performance capabilities offered by the ...characterizing ... See full document
9
Parameter estimation for a model with both imperfect test and repair
... the estimation, and to derive expressions for the estimation error in terms of the error in the ...and model assessment methods such as computation of standardized residuals, can be ...inference ... See full document
6
On coordination disambiguation in a generative parsing model, with memory based techniques for parameter estimation
... Collins’ Model 1, rem oving all bilexical statistics from the model* resulted in a mere ...history-based model could achieve accuracy rates as high as ...parsing model is based on a trad itio ... See full document
138
Parameter estimation for an allometric food web model
... mathematical model and its parameters, as well as the procedures involved in solving the inverse ...mathematical model. The mathematical model (i.e., the ATN model) describes how the aphid ... See full document
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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 ... See full document
183
Study of Adaptive Model Parameter Estimation for Milling Tool Wear
... process, techniques for tool wear monitoring are being used widely using the spindle and feed motor ...and model. In some general methods, an explicit model is built by using Multivariate Linear ... See full document
11
Efficient parameter identification and model selection in nonlinear dynamical systems via sparse Bayesian learning
... Bouc-Wen hysteresis of Equation ...combined model-selection and parameter estimation in the case with unknown forcing would become much harder as one would have to discern whether forcing ... See full document
14
Parameter Estimation for Dynamic Model of the Financial System
... Non-Linear Dynamic Finance System A fi nance system can be understood as a set of markets, institutions, laws, regulations and techniques on the basis of which all types of fi nancial transactions are carried out. ... See full document
5
Green algae (Raphidocelis subcapitata) growth model
... theory parameter estimation and bootstrapping estimation techniques for the Logistic, Discrete Logistic Gompertz, and Bernoulli growth ...squares estimation fits for the three different ... See full document
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High Speed Parameter Estimation for a Homogenized Energy Model
... a larger magnitude field is applied, the ion continues to displace itself further resulting in a strain of the molecule. These phenomenon are illustrated in Figures 1.7(a) and (b). As the applied electric field value is ... See full document
124
A time domain formulation for identification in electromagnetic dispersion
... electric polarization model are considered. The polarization is given in terms of a convolution of the electric eld with an impulse response ...case. Estimation of electromagnetic properties ... See full document
14
Fast 2-D DOA and Polarization Estimation Using Arbitrary Conformal Antenna Array
... and polarization parameters estimation using conformal antenna ...signal model of arbitrary conformal array configurations with polarized antenna elements is ... See full document
14
Efficient parameter estimation techniques for hysteresis models
... a model char- acterization of the actuator. Consequently, the estimation of key model parameters must be obtained in a manner which results in the quick and accurate quantification of such ... See full document
10
Parameter estimation techniques for a class of nonlinear hysteresis models
... regimes, hysteresis can be mitigated through restricted input levels, amplifier designs, or feedback mech- ...maximal hysteresis rather than operation in approximately linear ...models, parameter ... See full document
15
The homogenized energy model (HEM) for characterizing polarization and strains in hysteretic ferroelectric materials: implementation algorithms and data-driven parameter estimation techniques
... the model is quantifying both the major and minor loop behavior at the three loading ...the model is very accurately characterizing the field-polarization behavior, there is some inaccuracy in the ... See full document
35
Parameter Estimation Of Metal Blooms Using Image Processing Techniques
... extraction techniques are openly available for circle detection, one of the most robust and commonly used methods is the Circular Hough Transform (CHT) [2] ... See full document
8
Comparative Analysis of Hysteresis and Sliding Mode Controllers for Effective Reduction of Harmonics in Electric Arc Furnace Using APF
... EAF model with APF using two different controllers is simulated using ...of hysteresis controller is found to be more compared to the sliding mode ...EAF model without any filter. Figure 10 and 11 ... See full document
7
Further applications of higher-order Markov chains and developments in regime-switching models
... prediction techniques in the model identi- fication and outlines how their method could be applied to the asset allocation problem using mean-variance type utility ...regime-switching model can be ... See full document
235
Ergodicity of stochastic smoking model and parameter estimation
... smoking model driven by Brownian motion based on a deterministic smoking ...smoking model is ...smoking model by a least squares estimation and the ergodic theory on the stationary ... See full document
20
Parameter estimation and uncertainty quantification for an epidemic model
... the model provide a general idea of times at which additional data will be most informative, they do not tell the whole ...a parameter set is known: this might be one based on a preliminary set of ... See full document
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