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Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays

Syed Ali, Muhammed, Balasubramaniam, Pagavathigounder, Rihan, Fathalla A. and Lakshmanan, Shanmugam 2016, Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays, Complexity, vol. 21, no. 5, May/Jun 2016, pp. 143-154, doi: 10.1002/cplx.21642.

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Title Stability criteria for stochastic Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with mixed time-varying delays
Author(s) Syed Ali, Muhammed
Balasubramaniam, Pagavathigounder
Rihan, Fathalla A.
Lakshmanan, ShanmugamORCID iD for Lakshmanan, Shanmugam orcid.org/0000-0002-4622-3782
Journal name Complexity
Volume number 21
Issue number 5
Season May/Jun 2016
Start page 143
End page 154
Total pages 12
Publisher Wiley
Place of publication Hoboken, N.J.
Publication date 2016-05
ISSN 1076-2787
1099-0526
Keyword(s) Cohen–Grossberg bidirectional associative memory neural network
global asymptotic stability
linear matrix inequality
Lyapunov functional
stochastic analysis
time-varying delays
T–S fuzzy model
Language eng
DOI 10.1002/cplx.21642
Field of Research 0102 Applied Mathematics
0103 Numerical And Computational Mathematics
0802 Computation Theory And Mathematics
Copyright notice ©2016, Wiley
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077144

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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