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Published in: Neural Computing and Applications 8/2017

19-01-2016 | Original Article

New algebraic conditions for ISS of memristive neural networks with variable delays

Authors: Kai Zhong, Qiqi Yang, Song Zhu

Published in: Neural Computing and Applications | Issue 8/2017

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Abstract

In this paper, a general class of memristive neural networks with variable delays is studied. By utilizing control theory and nonsmoooth analysis, two sufficient criteria ensuring input-to-state stability of memristive neural networks with variable delays are firstly obtained which are novel and more practical than the previous works in the literature. Finally, a numerical example is given to demonstrate the effectiveness of our results.

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Metadata
Title
New algebraic conditions for ISS of memristive neural networks with variable delays
Authors
Kai Zhong
Qiqi Yang
Song Zhu
Publication date
19-01-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 8/2017
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2176-0

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