Thursday 28th of March 2024
 

Robust stability condition for neutral-type neural networks with discrete and distributed delays


Li-Yuan Wang and Xiu-Mei Li

The robust exponential stability is investigated for a class of uncertain neutral-type neural networks with discrete and distributed time-varying delays. By introducing a new vector Lyapunov-Krasovskii functional, using Jensen integral inequality, free-weighting matrix method and linear matrix inequality(LMI) techniques, delay-dependent sufficient conditions are obtained for exponential stability of considered neural networks, which generalize some previous results in the literature. Four examples are given to show the less conservativeness of the obtained results.

Keywords: Global robust exponential stability; linear matrix inequality(LMI); uncertain neutral-type neural

Download Full-Text


ABOUT THE AUTHORS

Li-Yuan Wang
Dalian Jiaotong University

Xiu-Mei Li
Dalian Jiaotong University


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »