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Lee, S.H., Park, M.J., Kwon, O.M. (2022) Improved synchronization and extended dissipativity analysis for delayed neural networks with the sampled-data control. Information Sciences, 601. 39-57 doi:10.1016/j.ins.2022.03.092

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Reference TypeJournal (article/letter/editorial)
TitleImproved synchronization and extended dissipativity analysis for delayed neural networks with the sampled-data control
JournalInformation Sciences
AuthorsLee, S.H.Author
Park, M.J.Author
Kwon, O.M.Author
Year2022 (July)Volume601
PublisherElsevier BV
DOIdoi:10.1016/j.ins.2022.03.092Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15206535Long-form Identifiermindat:1:5:15206535:7
GUID0
Full ReferenceLee, S.H., Park, M.J., Kwon, O.M. (2022) Improved synchronization and extended dissipativity analysis for delayed neural networks with the sampled-data control. Information Sciences, 601. 39-57 doi:10.1016/j.ins.2022.03.092
Plain TextLee, S.H., Park, M.J., Kwon, O.M. (2022) Improved synchronization and extended dissipativity analysis for delayed neural networks with the sampled-data control. Information Sciences, 601. 39-57 doi:10.1016/j.ins.2022.03.092
In(2022) Information Sciences Vol. 601. Elsevier BV

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Lee, S.H., Park, M.J., Kwon, O.M., Sakthivel, R. (2017) Advanced sampled-data synchronization control for complex dynamical networks with coupling time-varying delays. Information Sciences, 420. 454-465 doi:10.1016/j.ins.2017.08.071
Jin, Li, He, Yong, Jiang, Lin, Wu, Min (2018) Extended dissipativity analysis for discrete-time delayed neural networks based on an extended reciprocally convex matrix inequality. Information Sciences, 462. 357-366 doi:10.1016/j.ins.2018.06.037
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
Nguyen, Khanh Hieu, Kim, Sung Hyun (2022) Improved dissipativity-based sampled-data control synthesis of nonhomogeneous Markovian jump fuzzy systems against mismatched fuzzy-basis functions. Information Sciences, 607. 1439-1464 doi:10.1016/j.ins.2022.06.041
Chen, Jun, Park, Ju H., Xu, Shengyuan (2021) Stability analysis for delayed neural networks via an improved negative-definiteness lemma. Information Sciences, 576. 756-768 doi:10.1016/j.ins.2021.08.055
Kwon, O.M., Park, M.J., Park, Ju H., Lee, S.M. (2016) Stability and stabilization of T-S fuzzy systems with time-varying delays via augmented Lyapunov-Krasovskii functionals. Information Sciences, 372. 1-15 doi:10.1016/j.ins.2016.08.026
Hao, Qing, Huang, Yanli (2022) Analysis and aperiodically intermittent control for synchronization of multi-weighted coupled Cohen-Grossberg neural networks without and with coupling delays. Information Sciences, 607. 377-400 doi:10.1016/j.ins.2022.05.110
Lin, Wen-Juan, He, Yong, Zhang, Chuan-Ke, Long, Fei, Wu, Min (2018) Dissipativity analysis for neural networks with two-delay components using an extended reciprocally convex matrix inequality. Information Sciences, 450. 169-181 doi:10.1016/j.ins.2018.03.021
Lin, Shanrong, Liu, Xiwei (2022) Synchronization for multiweighted and directly coupled reaction-diffusion neural networks with hybrid coupling via boundary control. Information Sciences, 607. 620-637 doi:10.1016/j.ins.2022.05.126
Huang, Yanli, Hou, Jie, Yang, Erfu (2020) General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction–diffusion terms. Information Sciences, 511. 36-57 doi:10.1016/j.ins.2019.09.045
Kwon, O.M., Park, M.J., Lee, S.M., Cha, E.J. (2015) Stability analysis for discrete-time neural networks with time-varying delays and stochastic parameter uncertainties. Canadian Journal of Physics, 93. 398-408 doi:10.1139/cjp-2014-0264
 
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