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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhan Shu Lam, J. |
| Copyright Year | 2007 |
| Description | Author affiliation: Hong Kong Univ., Pok Fu Lam (Zhan Shu) |
| Abstract | This paper is concerned with the exponential estimating problem for Cohen-Grossberg neural networks with time delay and stochastic disturbance. A sufficient condition, which does not only guarantee the global exponential stability but also provides more exact characterization on the decay rate and the coefficient, is established in terms of the Lyapunov-Krasovskii functional approach and the linear matrix inequality (LMI) technique. The estimates of the decay rate and the coefficient are obtained by solving a set of LMIs, which can be checked easily by effective algorithms. In addition, slack matrices are introduced to reduce the conservatism of the condition. A numerical example is provided to illustrate the effectiveness of the theoretical results. |
| Starting Page | 459 |
| Ending Page | 464 |
| File Size | 324407 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424408177 |
| DOI | 10.1109/ICCA.2007.4376399 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-30 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Delay estimation Stochastic processes Neural networks Delay effects Biological system modeling Artificial neural networks Linear matrix inequalities Stability analysis Stochastic resonance Symmetric matrices time delay Exponential estimates linear matrix inequality Cohen-Grossberg neural networks stochastic disturbance |
| Content Type | Text |
| Resource Type | Article |
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