The Choice of regularization parameter by fuzzy inference for magnetic field synthesis

Author

Ceclan, A. ; Barbulescu, Ct ; Micu, D.D. ; Micu, D. ; Czumbil, L.

Author_Institution

Tech. Univ. of Cluj Napoca, Cluj-Napoca

fYear

2008

fDate

22-24 May 2008

Firstpage

71

Lastpage

77

Abstract

The paper illustrates a robust regularization method for numerically synthesize a magnetic field, because the problem proves to be ill-posed and ill-conditioned. Truncated singular value decomposition has to be applied, so as to. reach stable and physically meaning solutions. Fuzzy inference approach is adopted to choose the regularization parameter.

Keywords

fuzzy reasoning; magnetic fields; singular value decomposition; fuzzy inference; magnetic field synthesis; regularization parameter; robust regularization method; truncated singular value decomposition; Coils; Inference algorithms; Integral equations; Inverse problems; Magnetic fields; Magnetic sensors; Mathematical model; Sensor phenomena and characterization; Shape; Singular value decomposition; field synthesis; fuzzy rules; ill-posed problem; regularization parameter; truncated singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on

Conference_Location

Brasov

Print_ISBN

978-1-4244-1544-1

Electronic_ISBN

978-1-4244-1545-8

Type

conf

DOI

10.1109/OPTIM.2008.4602346

Filename

4602346