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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

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Reference TypeJournal (article/letter/editorial)
TitleNovel delay-dependent stability analysis of Takagi—Sugeno fuzzy uncertain neural networks with time varying delays
JournalChinese Physics B
AuthorsAli, M. SyedAuthor
Year2012 (July)Volume21
PublisherIOP Publishing
DOIdoi:10.1088/1674-1056/21/7/070207Search in ResearchGate
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Mindat Ref. ID6002644Long-form Identifiermindat:1:5:6002644:0
GUID0
Full ReferenceAli, 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
Plain TextAli, 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
In(n.d.) Chinese Physics B Vol. 21. IOP Publishing

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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
Gong, Da-Wei, Zhang, Hua-Guang, Wang, Zhan-Shan (2012) Novel stability and stabilization criteria for Takagi—Sugeno fuzzy time-delay systems. Chinese Physics B, 21. 30204pp. doi:10.1088/1674-1056/21/3/030204
Wang, Shen-Quan, Feng, Jian, Zhao, Qing (2012) Novel delay-distribution-dependent stability analysis for continuous-time recurrent neural networks with stochastic delay. Chinese Physics B, 21. 120701pp. doi:10.1088/1674-1056/21/12/120701
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
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
Wang, Jian-An (2011) Novel delay-dependent stability criteria for neural networks with interval time-varying delay. Chinese Physics B, 20. 120701pp. doi:10.1088/1674-1056/20/12/120701
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
TSENG, K. H., TSAI, J. S. H., LU, C. Y. (2013) A DELAY-DEPENDENT APPROACH TO ROBUST PASSIVITY ANALYSIS FOR TAKAGI-SUGENO FUZZY UNCERTAIN RECURRENT NEURAL NETWORKS WITH MIXED INTERVAL TIME-VARYING DELAYS. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21. 415-433 doi:10.1142/s0218488513500219
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
Balasubramaniam, P., Kalpana, M., Rakkiyappan, R. (2012) Linear matrix inequality approach for synchronization control of fuzzy cellular neural networks with mixed time delays. Chinese Physics B, 21. 48402pp. doi:10.1088/1674-1056/21/4/048402
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
 
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