Exponential stabilization of neural networks with various activation functions and mixed time-varying delays

V N Phat; H Trinh

doi:10.1109/TNN.2010.2049118

Exponential stabilization of neural networks with various activation functions and mixed time-varying delays

IEEE Trans Neural Netw. 2010 Jul;21(7):1180-4. doi: 10.1109/TNN.2010.2049118. Epub 2010 Jun 14.

Authors

V N Phat¹, H Trinh

Affiliation

¹ Institute of Mathematics, Vietnam Academy of Science and Technology, Hanoi 10307, Vietnam. vnphat@math.ac.vn

PMID: 20550986
DOI: 10.1109/TNN.2010.2049118

Abstract

This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based on augmented time-varying Lyapunov-Krasovskii functionals, new delay-dependent conditions for the global exponential stabilization are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate the feasibility of our results.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Animals
Computer Simulation
Humans
Neural Networks, Computer*
Nonlinear Dynamics*
Time Factors