On the Representation of Hysteresis Operators of Preisach Type

Author

R. V. Iyer
Robert Paige L., Missouri University of Science and TechnologyFollow

Editor(s)

Brommer, P. E. and Buddhudu, S. and Buschow, K. H. J. and de Boer, F. R. and Degiorgi, L. and Jochhemsen, R. and Wada, H.

Abstract

Brokate and Sprekels introduced the notion of hysteresis operators of the Preisach type (HOPTs), that are more general than (and include as a subset) the classical Preisach operator. In this paper, we provide a mathematical framework to the important representation problem for HOPTs by presenting two results on the approximation of the output function on the set of memory curves. One of the results shows the existence of a neural network representation when the functional is continuous, and the other shows a representation based on a multiresolution analysis when the functional is Hölder continuous and bounded on compact subsets of the space of memory curves.

Recommended Citation

R. V. Iyer and R. Paige, "On the Representation of Hysteresis Operators of Preisach Type," Physica B: Condensed Matter, Elsevier, Jan 2006.

The definitive version is available at https://doi.org/10.1016/j.physb.2005.10.012

Department(s)

Mathematics and Statistics

Keywords and Phrases

hysteresis operators of Preisach type; representation problem; neural networks; multiresolution analysis

International Standard Serial Number (ISSN)

0921-4526

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2006 Elsevier, All rights reserved.

Publication Date

01 Jan 2006