Title

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

DOI

10.6119/JMST-013-0207-3

Authors

Chang-Hua Lien;Ker-Wei Yu

Key Words

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

PublicationName

Journal of Marine Science and Technology

Volume or Term/Year and Month of Publication

預刊文章(2013 / 03 / 08)

Page #

14 - 19

Content Language

英文

English Abstract

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.

Topic Category 基礎與應用科學 > 海洋科學
工程學 > 市政與環境工程
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