ℋ∞ 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 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 condition...
Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
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Series: | Advances in Fuzzy Systems |
Online Access: | http://dx.doi.org/10.1155/2012/281821 |
Summary: | 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. |
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ISSN: | 1687-7101 1687-711X |