Lur’e-Postnikov Lyapunov function approach to global robust Mittag-Leffler stability of fractional-order neural networks

Lur’e-Postnikov Lyapunov function approach to global robust Mittag-Leffler stability of fractional-order neural networks

Abstract In this paper, the global robust Mittag-Leffler stability analysis is preformed for fractional-order neural networks (FNNs) with parameter uncertainties. A new inequality with respect to the Caputo derivative of integer-order integral function with the variable upper limit is developed. By...

Full description

Bibliographic Details
Main Authors: Ka Song, Huaiqin Wu, Lifei Wang
Format: Article
Language:English
Published: Springer 2017-08-01
Series:Advances in Difference Equations
Subjects:
fractional-order neural networks
global robust Mittag-Leffler stability
Lur’e-Postnikov type Lyapunov functional
Brouwer degree
linear matrix inequality
Online Access:http://link.springer.com/article/10.1186/s13662-017-1298-8

Internet

http://link.springer.com/article/10.1186/s13662-017-1298-8

Similar Items