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research
Improved global robust asymptotic stability criteria for delayed cellular neural networks
Authors
DWC Ho
J Lam
S Xu
Y Zou
Publication date
1 January 2005
Publisher
'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Cite
Abstract
This paper considers the problem of global robust stability analysis of delayed cellular neural networks (DCNNs) with norm-bounded parameter uncertainties. In terms of a linear matrix inequality, a new sufficient condition ensuring a nominal DCNN to have a unique equilibrium point which is globally asymptotically stable is proposed. This condition is shown to be a generalization and improvement over some previous criteria. Based on the stability result, a robust stability condition is developed, which contains an existing robust stability result as a special case. An example is provided to demonstrate the reduced conservativeness of the proposed results. © 2005 IEEE.published_or_final_versio
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Last time updated on 01/06/2016