DocumentCode
1515230
Title
Exponential Stabilization of Neural Networks With Various Activation Functions and Mixed Time-Varying Delays
Author
Phat, V.N. ; Trinh, H.
Author_Institution
Inst. of Math., Vietnam Acad. of Sci. & Technol., Hanoi, Vietnam
Volume
21
Issue
7
fYear
2010
fDate
7/1/2010 12:00:00 AM
Firstpage
1180
Lastpage
1184
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.
Keywords
Lyapunov methods; asymptotic stability; delays; linear matrix inequalities; neurocontrollers; transfer functions; Lyapunov-Krasovskii function; activation functions; exponential stability; linear matrix inequalities; mixed time-varying delays; neural networks; Linear matrix inequalities; Lyapunov function; mixed delay; neural networks; stabilization; Algorithms; Animals; Computer Simulation; Humans; Neural Networks (Computer); Nonlinear Dynamics; Time Factors;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/TNN.2010.2049118
Filename
5484431
Link To Document