Global exponential stability of fuzzy BAM neural networks with time-varying delays
Qianhong Zhang and
Wei Luo
Chaos, Solitons & Fractals, 2009, vol. 42, issue 4, 2239-2245
Abstract:
In this paper, a class of fuzzy bidirectional associated memory (BAM) neural networks with time-varying delays are studied. Employing fixed point theorem, matrix theory and inequality analysis, some sufficient conditions are established for the existence, uniqueness and global exponential stability of equilibrium point. The sufficient conditions are easy to verify at pattern recognition and automatic control. Finally, an example is given to show feasibility and effectiveness of our results.
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:4:p:2239-2245
DOI: 10.1016/j.chaos.2009.03.116
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