On Global Dissipativity of Nonautonomous Neural Networks With Multiple Proportional Delays.

Abstract

This brief addresses the problem of global dissipativity analysis of nonautonomous neural networks with multiple proportional delays. By using a novel constructive approach based on some comparison techniques for differential inequalities, new explicit delay-independent conditions are derived using M-matrix theory to ensure the existence of generalized exponential attracting sets and the global dissipativity of the system. The method presented in this brief is also utilized to derive a generalized exponential estimate for a class of Halanay-type inequalities with proportional delays. Finally, three numerical examples are given to illustrate the effectiveness and improvement of the obtained results.

Cite this paper

@article{Hien2016OnGD, title={On Global Dissipativity of Nonautonomous Neural Networks With Multiple Proportional Delays.}, author={Le Van Hien and Doan Thai Son and Hieu Minh Trinh}, journal={IEEE transactions on neural networks and learning systems}, year={2016} }