Robust Stability Analysis of Fuzzy Neural Network with Delays

Kaihong Zhao and Yongkun Li

Mathematical Problems in Engineering, 2009, vol. 2009, 1-13

Abstract:

We investigate local robust stability of fuzzy neural networks (FNNs) with time-varying and S-type distributed delays. We derive some sufficient conditions for local robust stability of equilibrium points and estimate attracting domains of equilibrium points except unstable equilibrium points. Our results not only show local robust stability of equilibrium points but also allow much broader application for fuzzy neural network with or without delays. An example is given to illustrate the effectiveness of our results.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:826908

DOI: 10.1155/2009/826908

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