A fuzzy logic approach to robust cost functions in adaptive systems

  • Authors:
  • Emilio Soria;José D. Martín;Antonio J. Serrano;Rafael Magdalena;Marcelino Martínez

  • Affiliations:
  • Departamento de Ingeniería Electrónica, E.T.S.E, Universidad de Valencia, Spain;Departamento de Ingeniería Electrónica, E.T.S.E, Universidad de Valencia, Spain;Departamento de Ingeniería Electrónica, E.T.S.E, Universidad de Valencia, Spain;Departamento de Ingeniería Electrónica, E.T.S.E, Universidad de Valencia, Spain;Departamento de Ingeniería Electrónica, E.T.S.E, Universidad de Valencia, Spain

  • Venue:
  • ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a fuzzy logic approach to combine cost functions in adaptive systems. The proposed approach is based on the application of a "soft" threshold to switch between two different cost functions. A generic analysis is carried out, being the Huber's function studied as a particular case. A channel equalization problem is used in order to benchmark the results achieved by the different cost functions.