Time-Varying Delay Global Stability of Neural Networks
| Periodical | Applied Mechanics and Materials (Volume 65) |
|---|---|
| Main Theme | Mechatronic Systems and Automation Systems |
| Edited by | Zhenyu Du and Bin Liu |
| Pages | 9-12 |
| DOI | 10.4028/www.scientific.net/AMM.65.9 |
| Citation | Dong Ming Huang et al., 2011, Applied Mechanics and Materials, 65, 9 |
| Online since | June, 2011 |
| Authors | Dong Ming Huang, Lei Sun |
| Keywords | Lyapunov-Functional, Neural Network (NN), Stability, Time-Varying Delay |
| Price | US$ 28,- |
Hopfield neural networks with variable delay stability of the equilibrium point, the delayed neural network analysis of exponential convergence rate and exponential stability. Obtained by using Lyapunov functional stability of the index to determine the conditions, the use of a number of analytical methods to study the connection weight matrix and activation function of the boundary, has been the result of system is exponentially stable, and a numerical example to prove that the method effectiveness.