Exponential Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Continuously Distributed Delays

DOI

10.2991/iske.2007.135How to use a DOI?

Keywords

Cohen-Grossberg neural networks; Periodic solution; Exponential stability; Coincidence degree theory; Distributed delays.

Abstract

A class of Cohen-Grossberg neural networks with distributed delays are considered. By using the coincidence degree theorem and differential inequality techniques, sufficient conditions for the existence and exponential stability of the periodic solutions are established, Without assuming the boundedness, monotonicity, and differentiability of activation functions and any symmetry of interconnections.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yonggui Kao
AU  - Qinghe Ming
PY  - 2007/10
DA  - 2007/10
TI  - Exponential Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Continuously Distributed Delays
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 786
EP  - 793
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.135
DO  - 10.2991/iske.2007.135
ID  - Kao2007/10
ER  -