Delay-dependent exponential estimates of stochastic neural networks with time delay
Shu, Zhan and Lam, James (2006) Delay-dependent exponential estimates of stochastic neural networks with time delay. In, King, Irwin, Wang, Jung, Lai, Wan and Wang, DeLiang (eds.) Neural Information Processing. ICONIP 2006 Heidelberg, DE, Springer, 332-341. (Lecture Notes in Computer Science, 4232/2006). (doi:10.1007/11893028_38).
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Description/Abstract
This paper is concerned with the exponential estimating problem for a class of stochastic neural networks with time delay. A sufficient condition, which does not only guarantee the exponential stability but also gives the estimates of decay rate and decay coefficient, is established in terms of a new Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) technique. The estimating procedure is implemented by solving a set of LMIs, which can be checked easily by effective algorithms. A numerical example is provided to illustrate the effectiveness of the theoretical results.
| Item Type: | Book Section |
|---|---|
| Keywords: | exponential estimates, linear matrix inequalities (lmis), stochastic neural networks, time delay |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering and the Environment > Engineering Sciences > Electro-Mechanical Research Group |
| Item ID: | 199999 |
| Date Deposited: | 01 Nov 2011 10:28 |
| Last Modified: | 02 Nov 2011 16:57 |
| Contributors: | Shu, Zhan (Author) Lam, James (Author) King, Irwin (Editor) Wang, Jung (Editor) Lai, Wan (Editor) Wang, DeLiang (Editor) |
| Date: | 2006 |
| Status: | Published |
| Publisher: | Springer |
| URI: | http://eprints.soton.ac.uk/id/eprint/199999 |
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