Some results on the stability of analog neural networks with time delays
This paper investigates the Global Asymptotic Stability (GAS) independent of time delay for analog neural network models whose self-feedback interconnections have and have no corresponding time delays respectively. By constructing two different Lyapunov functionals, some new sufficient conditions represented by M-matrices, which can guarantee the GAS independent of time delay for the analog neural network models with time delays, are derived. These obtained sufficient conditions for GAS are also compared with the existing ones in the literature.
Publication Source (Journal or Book title)
IEEE International Conference on Neural Networks - Conference Proceedings
Liang, X., He, Y., & Wu, L. (1998). Some results on the stability of analog neural networks with time delays. IEEE International Conference on Neural Networks - Conference Proceedings, 2, 1388-1391. Retrieved from https://repository.lsu.edu/eecs_pubs/868