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

Phat, V. N. and Trinh, H. 2010, Exponential stabilization of neural networks with various activation functions and mixed time-varying delays, IEEE transactions on neural networks, vol. 21, no. 7, pp. 1180-1184.

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Title Exponential stabilization of neural networks with various activation functions and mixed time-varying delays
Author(s) Phat, V. N.
Trinh, H.
Journal name IEEE transactions on neural networks
Volume number 21
Issue number 7
Start page 1180
End page 1184
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2010-07
ISSN 1045-9227
1941-0093
Keyword(s) linear matrix inequalities
lyapunov function
mixed delay
neural networks
stabilization
Summary 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.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30032338

Document type: Journal Article
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.