Global Asymptotical Stability Analysis for Fractional Neural Networks with Time-Varying Delays

Global Asymptotical Stability Analysis for Fractional Neural Networks with Time-Varying Delays

In this paper, the global asymptotical stability of Riemann-Liouville fractional-order neural networks with time-varying delays is studied. By combining the Lyapunov functional function and LMI approach, some sufficient criteria that guarantee the global asymptotical stability of such fractional-ord...

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Bibliographic Details
Main Authors: Zhixin Zhang, Yufeng Zhang, Jia-Bao Liu, Jiang Wei
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Mathematics
Subjects:
time-varying delay
global asymptotical stability
fractional-order
neural networks
linear matrix inequality
Online Access:https://www.mdpi.com/2227-7390/7/2/138

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