Parameter Estimation Techniques for a Class of Nonlinear Hysteresis Models

Abstract

This paper addresses the development of parameter estimation techniques for a class of models used to characterize hysteresis and constitutive nonlinearities inherent to ferroelectric, ferromagnetic and ferroelastic materials employed in a wide range of actuators and sensors. These models are formulated as integral equations with known kernels and unknown densities to be identified through least squares techniques. Due to the compactness of the integral operators, the resulting discretized models inherit ill-posedness which 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, 2005
Accession Number
ADA440141

Entities

People

  • Andrew G. Hatch
  • Ralph C. Smith

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Alloys
  • Computations
  • Differential Equations
  • Domain Walls
  • Electric Fields
  • Equations
  • Ferromagnetic Materials
  • Hysteresis
  • Integral Equations
  • Integrals
  • Inverse Problems
  • Magnetic Materials
  • Materials
  • Phase Transformations
  • Shape Memory Alloys

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Materials Science and Engineering.