Robust stability of cellular neural networks with delay: linear matrix inequality approach
Robust stability of cellular neural networks with delay: linear matrix inequality approach
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DOI:
10.1049/ip-cta:20040091
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发表时间:
2004-03
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影响因子:
--
通讯作者:
V. Singh
中科院分区:
文献类型:
--
作者:
V. Singh
A criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.