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dc.contributor.authorChen, Zhen-Yuan
dc.contributor.authorChen, Cheng-Wu
dc.contributor.authorChiang, Wei-Ling
dc.date.accessioned2009-08-23T04:41:14Z
dc.date.accessioned2020-05-25T06:37:46Z-
dc.date.available2009-08-23T04:41:14Z
dc.date.available2020-05-25T06:37:46Z-
dc.date.issued2006-10-24
dc.date.submitted2002-12-18
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/2309-
dc.description.abstractThis paper is concerned with the stability problem of a neural network (NN) large-scale system which consists of a few interconnected subsystems represented by NN models. First, the dynamics of each NN model is converted into LDI (linear differential inclusion) representation. Subsequently, based on the LDI representations, a stability criterion in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN large-scale systems. Finally, a numerical example with simulations is given to illustrate the results.
dc.description.sponsorship東華大學,花蓮縣
dc.format.extent16p.
dc.format.extent106820 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2002 ICS會議
dc.subjectLarge-scale system
dc.subjectneural network
dc.titleStability Analysis of Neural-Network Large-scale Systems
分類:2002年 ICS 國際計算機會議

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