Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay

Lakshmanan, S and Balasubramaniam, P 2011, Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay, Chinese Physics B, vol. 20, no. 4, pp. 1-12, doi: 10.1088/1674-1056/20/4/040204.

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Title Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay
Author(s) Lakshmanan, SORCID iD for Lakshmanan, S orcid.org/0000-0002-4622-3782
Balasubramaniam, P
Journal name Chinese Physics B
Volume number 20
Issue number 4
Article ID 040204
Start page 1
End page 12
Total pages 12
Publisher IOP Science
Publication date 2011-04-01
ISSN 1674-1056
Keyword(s) Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
delay-dependent stability
linear matrix inequality
Lyapunov-Krasovskii functional
stochastic neural networks
SQUARE EXPONENTIAL STABILITY
DEPENDENT STABILITY
SYSTEMS
DISCRETE
CRITERIA
Language eng
DOI 10.1088/1674-1056/20/4/040204
Field of Research 01 Mathematical Sciences
02 Physical Sciences
09 Engineering
HERDC Research category CN.1 Other journal article
Copyright notice ©2011, IOP Science
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077181

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