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Lakshmanan, S., Park, Ju H., Jung, H. Y., Balasubramaniam, P. (2012) State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters. Chinese Physics B, 21. 100205pp. doi:10.1088/1674-1056/21/10/100205

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Reference TypeJournal (article/letter/editorial)
TitleState estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters
JournalChinese Physics B
AuthorsLakshmanan, S.Author
Park, Ju H.Author
Jung, H. Y.Author
Balasubramaniam, P.Author
Year2012 (October)Volume21
PublisherIOP Publishing
DOIdoi:10.1088/1674-1056/21/10/100205Search in ResearchGate
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Mindat Ref. ID6001875Long-form Identifiermindat:1:5:6001875:1
GUID0
Full ReferenceLakshmanan, S., Park, Ju H., Jung, H. Y., Balasubramaniam, P. (2012) State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters. Chinese Physics B, 21. 100205pp. doi:10.1088/1674-1056/21/10/100205
Plain TextLakshmanan, S., Park, Ju H., Jung, H. Y., Balasubramaniam, P. (2012) State estimation for neural neutral-type networks with mixed time-varying delays and Markovian jumping parameters. Chinese Physics B, 21. 100205pp. doi:10.1088/1674-1056/21/10/100205
In(n.d.) Chinese Physics B Vol. 21. IOP Publishing

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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
Rakkiyappan, R., Sakthivel, N., Lakshmanan, S. (2014) Exponential synchronization of complex dynamical networks with Markovian jumping parameters using sampled-data and mode-dependent probabilistic time-varying delays. Chinese Physics B, 23. 20205pp. doi:10.1088/1674-1056/23/2/020205
Balasubramaniam, P., Lakshmanan, S., Manivannan, A. (2012) Robust stability analysis for Markovian jumping interval neural networks with discrete and distributed time-varying delays. Chaos, Solitons & Fractals, 45. 483-495 doi:10.1016/j.chaos.2012.01.011
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
Park, M.J., Kwon, O.M., Park, Ju H., Lee, S.M., Cha, E.J. (2011) Synchronization criteria for coupled Hopfield neural networks with time-varying delays. Chinese Physics B, 20. 110504pp. doi:10.1088/1674-1056/20/11/110504
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
Kalpana, M., Balasubramaniam, P. (2013) Stochastic asymptotical synchronization of chaotic Markovian jumping fuzzy cellular neural networks with mixed delays and the Wiener process based on sampled-data control. Chinese Physics B, 22. 78401pp. doi:10.1088/1674-1056/22/7/078401
Park, M. J., Kwon, O. M., Park, Ju H., Lee, S. M., Cha, E. J. (2012) Leader—following consensus criteria for multi-agent systems with time-varying delays and switching interconnection topologies. Chinese Physics B, 21. 110508pp. doi:10.1088/1674-1056/21/11/110508
Kwon, O.M., Park, M. J., Park, Ju H., Lee, S.M., Cha, E. J. (2013) ℋ ∞ synchronization of chaotic neural networks with time-varying delays. Chinese Physics B, 22. 110504pp. doi:10.1088/1674-1056/22/11/110504
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
Syed Ali, M., Saravanakumar, R. (2015) Augmented Lyapunov approach to H ∞ state estimation of static neural networks with discrete and distributed time-varying delays. Chinese Physics B, 24. 50201pp. doi:10.1088/1674-1056/24/5/050201
 
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