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Exponential stability of non-autonomous neural networks with heterogeneous time-varying delays and destabilizing impulses

Hai An, LD, Le, H and Loan, TT 2016, Exponential stability of non-autonomous neural networks with heterogeneous time-varying delays and destabilizing impulses, Vietnam journal of mathematics, vol. 45, pp. 425-440, doi: 10.1007/s10013-016-0217-8.

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Title Exponential stability of non-autonomous neural networks with heterogeneous time-varying delays and destabilizing impulses
Author(s) Hai An, LD
Le, H
Loan, TT
Journal name Vietnam journal of mathematics
Volume number 45
Start page 425
End page 440
Total pages 16
Publisher Springer
Place of publication Berlin, Germany
Publication date 2016-06-23
ISSN 2305-221X
2305-2228
Keyword(s) heterogeneous delays
impulsive neural networks
destabilizing impulses
exponential stability
M-matrix
Summary In this paper, the problem of global exponential stability analysis of a class of non-autonomous neural networks with heterogeneous delays and time-varying impulses is considered. Based on the comparison principle, explicit conditions are derived in terms of testable matrix inequalities ensuring that the system is globally exponentially stableunder destabilizing impulsive effects. Numerical examples are given to demonstrate the effectiveness of the obtained results.
Language eng
DOI 10.1007/s10013-016-0217-8
Field of Research 090601 Circuits and Systems
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, Vietnam Academy of Science and Technology & Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089705

Document type: Journal Article
Collection: School of Engineering
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