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https://hdl.handle.net/2440/88019
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DC Field | Value | Language |
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dc.contributor.author | Qiu, J. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | Yang, H. | - |
dc.contributor.author | Li, L. | - |
dc.contributor.author | Li, J. | - |
dc.contributor.editor | Cheng, D. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Proceedings of the 27th Chinese Control Conference 2008, (CCC 2008), 2008 / Cheng, D. (ed./s), pp.634-637 | - |
dc.identifier.isbn | 9787900719706 | - |
dc.identifier.uri | http://hdl.handle.net/2440/88019 | - |
dc.description.abstract | In this paper, the problem of stochastic robust stability of interval time-varying delay neural networks with Markovian jump parameters is investigated. The jumping parameters are modeled as a continuous-time, discrete-state Markov process. The linear factional uncertainty is considered, it means that a less conservative result will be obtained than using norm-bounded parameter uncertainties. And the derivative of the delay function can exceed one. Based on the lyapunov-krasovskii functional approach, a new delay-dependent stochastic stability criteria is presented in terms of linear matrix inequalities (LMIs). A numerical example is given to illustrate the effectiveness of the proposed method. | - |
dc.description.statementofresponsibility | Qiu Jiqing, Shi Peng, Yang Hongjiu, Li Li, Li Jie | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/chicc.2008.4605130 | - |
dc.title | New Stochastic robust stability criteria for time-varying delay neural networks with Markovian jump parameters | - |
dc.type | Conference paper | - |
dc.contributor.conference | Chinese Control Conference (CCC) (16 Jul 2008 - 18 Jul 2008 : Kunming, Yunnan, China) | - |
dc.identifier.doi | 10.1109/CHICC.2008.4605130 | - |
dc.publisher.place | China | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435] | - |
Appears in Collections: | Aurora harvest 7 Electrical and Electronic Engineering publications |
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