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Ali, M. Syed (2011) Robust stability analysis of Takagi—Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays. Chinese Physics B, 20. 80201pp. doi:10.1088/1674-1056/20/8/080201

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Reference TypeJournal (article/letter/editorial)
TitleRobust stability analysis of Takagi—Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays
JournalChinese Physics B
AuthorsAli, M. SyedAuthor
Year2011 (August)Volume20
PublisherIOP Publishing
DOIdoi:10.1088/1674-1056/20/8/080201Search in ResearchGate
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Mindat Ref. ID6001617Long-form Identifiermindat:1:5:6001617:9
GUID0
Full ReferenceAli, M. Syed (2011) Robust stability analysis of Takagi—Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays. Chinese Physics B, 20. 80201pp. doi:10.1088/1674-1056/20/8/080201
Plain TextAli, M. Syed (2011) Robust stability analysis of Takagi—Sugeno uncertain stochastic fuzzy recurrent neural networks with mixed time-varying delays. Chinese Physics B, 20. 80201pp. doi:10.1088/1674-1056/20/8/080201
In(n.d.) Chinese Physics B Vol. 20. IOP Publishing

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Ali, M. Syed (2012) Novel delay-dependent stability analysis of Takagi—Sugeno fuzzy uncertain neural networks with time varying delays. Chinese Physics B, 21. 70207pp. doi:10.1088/1674-1056/21/7/070207
Ali, M. Syed (2014) Stability analysis of Markovian jumping stochastic Cohen—Grossberg neural networks with discrete and distributed time varying delays. Chinese Physics B, 23. 60702pp. doi:10.1088/1674-1056/23/6/060702
Syed Ali, M., Balasubramaniam, P. (2008) Robust stability for uncertain stochastic fuzzy BAM neural networks with time-varying delays. Physics Letters A, 372. 5159-5166 doi:10.1016/j.physleta.2008.05.067
Lakshmanan, S, Balasubramaniam, P (2011) Linear matrix inequality approach for robust stability analysis for stochastic neural networks with time-varying delay. Chinese Physics B, 20. 40204pp. doi:10.1088/1674-1056/20/4/040204
Balasubramaniam, P., Syed Ali, M. (2011) Stability analysis of Takagi–Sugeno fuzzy Cohen–Grossberg BAM neural networks with discrete and distributed time-varying delays. Mathematical and Computer Modelling, 53. 151-160 doi:10.1016/j.mcm.2010.07.028
Syed Ali, M., Marudai, M. (2011) Stochastic stability of discrete-time uncertain recurrent neural networks with Markovian jumping and time-varying delays. Mathematical and Computer Modelling, 54. 1979-1988 doi:10.1016/j.mcm.2011.05.004
Ali, M. Syed, Saravanakumar, R. (2014) Improved delay-dependent robust H ∞ control of an uncertain stochastic system with interval time-varying and distributed delays. Chinese Physics B, 23. 120201pp. doi:10.1088/1674-1056/23/12/120201
Syed Ali, M., Saravanakumar, R. (2015) Robust H ∞ control of uncertain systems with two additive time-varying delays. Chinese Physics B, 24. 90202pp. doi:10.1088/1674-1056/24/9/090202
Kwon, O.M, Kwon, J.W, Kim, S.H (2011) New results on stability criteria for neural networks with time-varying delays. Chinese Physics B, 20. 50505pp. doi:10.1088/1674-1056/20/5/050505
Nagamani, G, Balasubramaniam, P (2011) Robust passivity analysis for Takagi–Sugeno fuzzy stochastic Cohen–Grossberg interval neural networks with time-varying delays. Physica Scripta, 83 (1). 15008pp. doi:10.1088/0031-8949/83/01/015008
Zhang, Wei-Yuan, Li, Jun-Min (2011) Global exponential stability of reaction—diffusion neural networks with discrete and distributed time-varying delays. Chinese Physics B, 20. 30701pp. doi:10.1088/1674-1056/20/3/030701
 
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