Matrix analysis
New delay-dependent exponential stability criteria of BAM neural networks with time delays
Mathematics and Computers in Simulation
Complete stability in multistable delayed neural networks
Neural Computation
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A new method for complete stability analysis of cellular neural networks with time delay
IEEE Transactions on Neural Networks
Hi-index | 22.14 |
This paper provides a new sufficient condition for the complete stability of the delayed cellular neural networks. This condition imposes constraints on the parameters of the networks and the size of time delay. The linear matrix inequality approach plays an important role in the proof. Our result recovers the known results in the earlier literature as special cases. Finally, we give an example to illustrate the applicability of our main result.