Exponential Stability Analysis for Neural Networks with Time-Varying Delay and Linear Fractional Perturbations

Chang-Hua Lien ； Ker-Wei Yu

《Journal of Marine Science and Technology》 預刊文章 Pp. 14-19

https://doi.org/10.6119/JMST-013-0207-3

並列摘要

In this paper, the global exponential stability and global asymptotic stability for a class of uncertain delayed neural networks (UDNNs) with time-varying delay and linear fractional perturbations are considered. Delay-dependent and delay-independent criteria are proposed to guarantee the robust stability of UDNNs via linear matrix inequality (LMI) approach. Additional nonnegative inequality approach is used to improve the conservativeness of the stability criteria. Some numerical examples are illustrated to show the effectiveness of our results. From the simulation results, significant improvement over the recent results can be observed.

並列關鍵字

delayed neural network ； global exponential stability ； delay-dependent criterion ； delay-independent criterion ； linear fractional perturbation ； linear matrix inequality

參考文獻

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