Exponential Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Continuously Distributed Delays
Yonggui Kao1, Qinghe Ming
1Ocean University of China, Qingdao 266071, P.R. China
Available Online October 2007.
- 10.2991/iske.2007.135How to use a DOI?
- Cohen-Grossberg neural networks; Periodic solution; Exponential stability; Coincidence degree theory; Distributed delays.
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.
- © 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/).
Cite this article
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 -