Journal
NEURAL NETWORKS
Volume 22, Issue 7, Pages 864-868Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2009.05.012
Keywords
Delay; Lyapunov; Neural Network; Passivity; Uncertainty
Funding
- National Natural Science Foundation of China [60825303]
- Foundation for the Author of National Excellent Doctoral Dissertation of China [2007E4]
- China Postdoctoral Science Foundation [RGC HKU 7031/06P]
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In this paper, improved criteria for the passivity of neural networks with time delay are proposed. The improvement is achieved by exploiting the finer relationships between the time-varying delay and its size bound which allow the use of more slack variables. It is illustrated via numerical examples that the proposed results are less conservative than those available in the literature. (C) 2009 Elsevier Ltd. All rights reserved.
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