Research on μ-Stability of Unbounded Time-Varying Delays Neural Networks with Impulsion in Intelligent Materials System

Article Preview

Abstract:

This paper is concerned with the problem of μ-stability of unbounded time-varying delays neural systems with impulsion. Some μ-stability criteria are derived by using Lyapunov- Krasovski functional method. Those criteria are expressed in the form of linear matrix inequalities (LMIs).

You might also be interested in these eBooks

Info:

Periodical:

Pages:

7-10

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] T. Chen, L. Wang, Global mu-stability of delayed neural networks with unbounded timevarying delays, IEEE Trans. Neural Netw 18 (2007) 705–709.

DOI: 10.1109/tnn.2007.902716

Google Scholar

[2] V. Lakshmikantham, D. Bainov, P. Simeonov, Theory of Impulsive Differential Equations, World Scientific, Singapore, (1989).

DOI: 10.1142/0906

Google Scholar

[3] X. Li, Uniform asymptotic stability and global stability of impulsive infinite delay differential equations, Nonlinear Anal.: TMA 70 (2009) 1975–(1983).

DOI: 10.1016/j.na.2008.02.096

Google Scholar

[4] S. Boyd, LE Ghaoui, E. Feron, V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM, Philadelphia, (1994).

DOI: 10.1137/1.9781611970777

Google Scholar