H∞ stability conditions for fuzzy neural networks

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1 Citation (Scopus)

Abstract

This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for the H∞ stability of fuzzy neural networks. Second, a new H∞ stability condition based on linear matrix inequality (LMI) is presented for fuzzy neural networks. These conditions also ensure asymptotic stability without external input.

Original languageEnglish
Article number281821
JournalAdvances in Fuzzy Systems
DOIs
Publication statusPublished - 2012

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Computational Mathematics

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