H∞ stability conditions for fuzzy neural networks

Authors:
Choon Ki Ahn
Affiliations:
Department of Automotive Engineering, Seoul National University of Science & Technology, Seoul, Republic of Korea
Venue:
Advances in Fuzzy Systems
Year:
2012

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Abstract

This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for the H8 stability of fuzzy neural networks. Second, a new H8 stability condition based on linear matrix inequality (LMI) is presented for fuzzy neural networks. These conditions also ensure asymptotic stability without external input.