Abstract
Following our recent approach of nonsmooth analysis, we report a new set of sufficient conditions and its implications for the global asymptotic stability of delayed cellular neural networks (DCNN). The new conditions not only unify a string of previous stability results, but also yield strict improvement over them by allowing the symmetric part of the feedback matrix positive definite, hence enlarging the application domain of DCNNs. Advantages of the new results over existing ones are illustrated with examples. We also compare our results with those related results obtained via LMI approach.
| Original language | English |
|---|---|
| Pages (from-to) | 1701-1706 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Neural Networks |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Nov 2005 |
Keywords
- Equilibrium point
- Global asymptotic stability
- Lipschitzian functions
- Neural networks
- Nonsmooth analysis
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computational Theory and Mathematics
- Hardware and Architecture