On the solution of differential equations with fuzzy spline wavelets

Armin Shmilovici, Oded Maimon

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Fuzzy systems built with spline wavelets can approximate any function in a general Hilbert space. Since wavelets are used extensively for the efficient solution of various types of differential equations, it is demonstrated that fuzzy spline wavelets can be used for the solution of the same type of problems. The advantage in using fuzzy spline wavelets for the solution of such problems is that the solution would enjoy the excellent numerical and computational characteristics of the fast wavelet transform, while retaining the explanatory power of fuzzy system. The method is demonstrated with the feedforward control of a flexible robotic arm.

Original languageEnglish
Pages (from-to)77-99
Number of pages23
JournalFuzzy Sets and Systems
Volume96
Issue number1
DOIs
StatePublished - 1 Jan 1998
Externally publishedYes

Keywords

  • Applications to mathematics-calculus
  • Functional analysis
  • Numerical analysis
  • Spline wavelets
  • Wavelet transform applications

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