Name
Title | ||
|---|---|---|
Stability Analysis For Delayed Cellular Neural Networks Based On Linear Matrix Inequality Approach |
Abstract | ||
|---|---|---|
Some sufficient conditions for the asymptotic stability of cellular neural networks with time delay are derived using the Lyapunov-Krasovskii stability theory for functional differential equations as well as the linear matrix inequality (LMI) approach. The analysis shows how some well-known results can be refined and generalized in a straightforward manner. Moreover, the stability criteria obtained are delay-independent. They are less conservative and restrictive than those reported so far in the literature, and provide a more general set of criteria for determining the stability of delayed cellular neural networks. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1142/S0218127404011259 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | Field | DocType |
cellular neural networks, time delay, asymptotic stability, linear matrix inequality, Lyapunov-Krasovskii stability theory | Lyapunov function,Differential equation,Computer science,Control theory,Exponential stability,Cellular neural network,Linear matrix inequality,Stability theory | Journal |
Volume | Issue | ISSN |
14 | 9 | 0218-1274 |
Citations | PageRank | References |
4 | 0.56 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Liao | 1 | 3657 | 326.61 |
| Kwok-Wo Wong | 2 | 1255 | 93.89 |
| Shizhong Yang | 3 | 73 | 8.40 |