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On global exponential stability of positive neural networks with time-varying delay

Hien, Le Van 2017, On global exponential stability of positive neural networks with time-varying delay, Neural networks, vol. 87, pp. 22-26, doi: 10.1016/j.neunet.2016.11.004.

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Title On global exponential stability of positive neural networks with time-varying delay
Author(s) Hien, Le VanORCID iD for Hien, Le Van orcid.org/0000-0003-1787-3011
Journal name Neural networks
Volume number 87
Start page 22
End page 26
Total pages 56
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2017-03
ISSN 0893-6080
1879-2782
Keyword(s) positive neural networks
positive equilibrium
exponential stability
time-varying delay
Summary This paper presents a new result on the existence, uniqueness and global exponential stability of a positive equilibrium of positiveneural networks in the presence of bounded time-varying delay. Based on some novel comparison techniques, a testable conditionis derived to ensure that all the state trajectories of the system converge exponentially to a unique positive equilibrium. Theeffectiveness of the obtained results is illustrated by a numerical example.
Language eng
DOI 10.1016/j.neunet.2016.11.004
Field of Research 010203 Calculus of Variations, Systems Theory and Control Theory
010204 Dynamical Systems in Applications
090602 Control Systems, Robotics and Automation
MD Multidisciplinary
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Elsevier
Free to Read? No
Free to Read Start Date 2019-04-01
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090283

Document type: Journal Article
Collection: School of Engineering
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