Journal
NEUROCOMPUTING
Volume 117, Issue -, Pages 196-205Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2013.01.026
Keywords
Inertial Cohen-Grossberg-type; Neural networks; Homeomorphism; Lyapunov functional; Differential mean value theorem; Exponential stability
Categories
Funding
- Natural Science Foundation of Zhejiang Province [Y6100096]
- Department of Education of Zhejiang Province [Y201122300]
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In this paper, the global exponential stability of inertial Cohen-Grossberg-type neural networks with time delays is investigated. First, by properly chosen variable substitution the system is transformed to the first order differential equation. Second, some sufficient conditions which can ensure the global exponential stability of the system are obtained using homeomorphism and differential mean value theorem, applying the analysis method and inequality technique. Finally, two examples are given to illustrate the effectiveness of the results. (C) 2013 Elsevier B.V. All rights reserved.
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