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.
ASJC Scopus subject areas
- Control and Systems Engineering
- Control and Optimization
- Computational Mathematics