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