Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/81858
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DC Field | Value | Language |
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dc.contributor.author | Wu, Z. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | Su, H. | - |
dc.contributor.author | Chu, J. | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2013; 43(6):1796-1806 | - |
dc.identifier.issn | 2168-2267 | - |
dc.identifier.issn | 2168-2275 | - |
dc.identifier.uri | http://hdl.handle.net/2440/81858 | - |
dc.description.abstract | In this paper, the problem of sampled-data synchronization for Markovian jump neural networks with time-varying delay and variable samplings is considered. In the framework of the input delay approach and the linear matrix inequality technique, two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems. The desired mode-independent controller is designed, which depends upon the maximum sampling interval. The effectiveness and potential of the obtained results is verified by two simulation examples. | - |
dc.description.statementofresponsibility | Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.rights | © 2013 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tsmcb.2012.2230441 | - |
dc.subject | Models, Statistical | - |
dc.subject | Markov Chains | - |
dc.subject | Stochastic Processes | - |
dc.subject | Sample Size | - |
dc.subject | Algorithms | - |
dc.subject | Computer Simulation | - |
dc.subject | Signal Processing, Computer-Assisted | - |
dc.subject | Neural Networks, Computer | - |
dc.title | Stochastic synchronization of Markovian jump neural networks with time-varying delay using sampled data | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TSMCB.2012.2230441 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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