Parameter Estimation Techniques for a Polarization Hysteresis Model

Abstract

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 integral equations with known kernels and unknown densities to be identified through least squares fit to data. Due to the compactness of the integral operators, the resulting discretized models inherit ill-posedness which often must be accommodated through regularization. The accuracy of regularized finite-dimensional models is illustrated through comparison with experimental data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA453243

Entities

People

  • Andrew Hatch
  • Ralph C. Smith

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computations
  • Differential Equations
  • Domain Walls
  • Electric Fields
  • Equations
  • Ferroelectric Materials
  • Free Energy
  • Hysteresis
  • Integral Equations
  • Integrals
  • Inverse Problems
  • Linear Systems
  • Materials
  • North Carolina
  • Polarization
  • Sequences

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation
  • Materials Science and Engineering.