Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/82507
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DC Field | Value | Language |
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dc.contributor.author | Wu, M. | - |
dc.contributor.author | Liu, F. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | He, Y. | - |
dc.contributor.author | Yokoyama, R. | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2008; 38(4):1152-1156 | - |
dc.identifier.issn | 1083-4419 | - |
dc.identifier.issn | 1941-0492 | - |
dc.identifier.uri | http://hdl.handle.net/2440/82507 | - |
dc.description.abstract | This correspondence paper focuses on the problem of exponential stability for neural networks with a time-varying delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. As a result, an improved linear-matrix-inequality-based delay-dependent exponential stability criterion is obtained without ignoring any terms in the derivative of Lyapunov-Krasovskii functional. Two numerical examples are given to demonstrate its effectiveness. | - |
dc.description.statementofresponsibility | Min Wu, Fang Liu, Peng Shi, Yong He, and Ryuichi Yokoyama | - |
dc.language.iso | en | - |
dc.publisher | IEEE-Inst Electrical Electronics Engineers Inc | - |
dc.rights | © 2008 IEEE | - |
dc.source.uri | http://dx.doi.org/10.1109/tsmcb.2008.915652 | - |
dc.subject | Algorithms | - |
dc.subject | Models, Theoretical | - |
dc.subject | Computer Simulation | - |
dc.subject | Neural Networks, Computer | - |
dc.title | Exponential stability analysis for neural networks with time-varying delay | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TSMCB.2008.915652 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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