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[PDF] Top 20 High Speed Parameter Estimation for a Homogenized Energy Model

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High Speed Parameter Estimation for a Homogenized Energy Model

High Speed Parameter Estimation for a Homogenized Energy Model

... control law. Another application of PZT is the THUNDER (THin Layer UNimorph Ferro- electric DrivER and Sensor) transducer (pictured in Figure 1.2(b) and detailed in [2, 28]). In this construct, the PZT is bonded to an ... See full document

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High-speed parameter estimation algorithms for nonlinear smart materials

High-speed parameter estimation algorithms for nonlinear smart materials

... the model construction for ferroelectric, ferromagnetic, and ferroelastic materials is the estimation or identification of material parameters given measurements of the material ...the homogenized ... See full document

10

A homogenized free energy model for hysteresis in thin-film shape memory alloys

A homogenized free energy model for hysteresis in thin-film shape memory alloys

... during high-temperature ...the parameter identification techniques described in this section to validate the model through comparison with ex- perimental ... See full document

54

A homogenized energy model for hysteresis in ferroelectric materials: general density formulation

A homogenized energy model for hysteresis in ferroelectric materials: general density formulation

... For model-based control design, the advantages are even more profound — the model formulated in terms of general densities exhibits a linear dependence on the parameters whereas the model constructed ... See full document

26

Parameter estimation for a mechanistic model of high dose irradiation damage using Nelder-Mead simplex method and genetic algorithm

Parameter estimation for a mechanistic model of high dose irradiation damage using Nelder-Mead simplex method and genetic algorithm

... use high-energy radiation to shrink tumors and kill cancer ...existing model of high dose irradiation ...the model which are ...parameters estimation results shown that ... See full document

6

Efficient parameter estimation techniques for hysteresis models

Efficient parameter estimation techniques for hysteresis models

... that model parameters be re-estimated to maintain the accuracy of the model and control ...the homogenized energy model presented in [5] to reduce the computational intensity of the ... See full document

10

Efficient implementation algorithm for a homogenized energy model with thermal relaxation

Efficient implementation algorithm for a homogenized energy model with thermal relaxation

... the homogenized energy model with thermal relaxation, as given in Algorithm ...computation speed of Algorithm 5 when run on an example ferromagnetic material (from ...original model). A ... See full document

11

Parameter estimation techniques for a polarization hysteresis model

Parameter estimation techniques for a polarization hysteresis model

... and model-based control algorithms to achieve the novel performance capabilities offered by the ...(i) homogenized free energy models [9, 13, 18], (ii) Preisach formulations [1, 2, 12, 19], and (iii) ... See full document

9

High speed FPGA model implementation for ferroelectric and ferromagnetic transducers operating in hysteretic regimes

High speed FPGA model implementation for ferroelectric and ferromagnetic transducers operating in hysteretic regimes

... and high-speed ...a model-based control can account for these effects, the computational complexity of the model often renders this approach ...the homogenized energy ... See full document

20

Efficient implementation algorithms for homogenized energy models

Efficient implementation algorithms for homogenized energy models

... The homogenized energy framework quantifying ferroelectric and ferromagnetic hysteresis is increasingly used for comprehensive material characterization and model-based control ...the high ... See full document

20

A homogenized energy framework for ferromagnetic hysteresis

A homogenized energy framework for ferromagnetic hysteresis

... require high fidelity models that are feasible to implement in optimization ...of model-based control algorithms for such systems necessitates the development of low-order macroscopic models which are ... See full document

40

Statistical emulator construction for nonlinear smart systems

Statistical emulator construction for nonlinear smart systems

... analysis, parameter calibration or system design which typically requires multiple iterations of computationally expensive ...real-time model-based control ...advantages: high efficiency and ... See full document

12

The homogenized energy model (HEM) for characterizing polarization and strains in hysteretic ferroelectric materials: implementation algorithms and data-driven parameter estimation techniques

The homogenized energy model (HEM) for characterizing polarization and strains in hysteretic ferroelectric materials: implementation algorithms and data-driven parameter estimation techniques

... the parameter estimates compiled in Table ...switching model for characterizing the polarization in low to moderate stress ...the model calibration codes highly efficient and optimization was ... See full document

35

The homogenized energy model (HEM) for characterizing polarization and strains in hysteretic ferroelectric materials: material

The homogenized energy model (HEM) for characterizing polarization and strains in hysteretic ferroelectric materials: material

... Ginzburg-Landau energy relations, provide one method for quantifying domain wall behavior ...gradient energy terms which incorporate local polarization changes associated with domain ...requiring ... See full document

49

Data-driven techniques to estimate parameters in the homogenized energy model for shape memory alloys

Data-driven techniques to estimate parameters in the homogenized energy model for shape memory alloys

... Shape memory alloys (SMA) are novel materials that exhibit two useful characteristics. The super-elastic effect allows the material to undergo significant strains without experiencing plastic deformation. The shape ... See full document

34

Mathematical Model and Parameter Estimation for Tumor Growth

Mathematical Model and Parameter Estimation for Tumor Growth

... Optimization refers to finding the maximum or minimum of a real-valued function, which is called objective function. Since locating the maximum of a function f (x) is equivalent to locating the minimum of − f (x), it ... See full document

82

Parameter estimation for the stochastic SIS epidemic model

Parameter estimation for the stochastic SIS epidemic model

... general parameter estimation in stochastic differential equations (SDEs) is a non-trivial problem [2, ...to estimation im- possible to implement. Young [27] reviews parameter estimation ... See full document

26

Parameter estimation and model fitting of stochastic processes

Parameter estimation and model fitting of stochastic processes

... Parameter estimation forms an essential part of the statistical inference methodolo- gies, especially for standard models such as Ornstein Uhlenbeck ...72], model fitting of multiscale data has ... See full document

164

Parameter Estimation for Dynamic Model of the Financial System

Parameter Estimation for Dynamic Model of the Financial System

... various model situations which subsequently enable us to analyse the simulated processes, more accurately specify the conditions under which they function, make practical conclusions from the fi ndings, fi nd an ... See full document

5

Parameter estimation for an allometric food web model

Parameter estimation for an allometric food web model

... to model a kind of idealized ecosystem, the results from which are assumed to be generally ...to model the real dy- namics of specific ecosystems, such as the plankton community of Lake Constance, or ... See full document

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