Exponential Stabilization of Neutral‐Type Neural Networks with Interval Nondifferentiable and Distributed Time‐Varying Delays

W. Weera and P. Niamsup

Abstract and Applied Analysis, 2012, vol. 2012, issue 1

Abstract: The problem of exponential stabilization of neutral‐type neural networks with various activation functions and interval nondifferentiable and distributed time‐varying delays is considered. The interval time‐varying delay function is not required to be differentiable. By employing new and improved Lyapunov‐Krasovskii functional combined with Leibniz‐Newton’s formula, the stabilizability criteria are formulated in terms of a linear matrix inequalities. Numerical examples are given to illustrate and show the effectiveness of the obtained results.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2012/101426

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:101426

Access Statistics for this article

More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().