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Global robust stability of interval neural networks with multiple time-varying delays

✍ Scribed by Qiankun Song; Jinde Cao

Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
178 KB
Volume
74
Category
Article
ISSN
0378-4754

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✦ Synopsis

In this paper, the global robust stability is investigated for interval neural networks with multiple time-varying delays. The neural network contains time-invariant uncertain parameters whose values are unknown but bounded in given compact sets. Without assuming both the boundedness on the activation functions and the differentiability on the time-varying delays, a new sufficient condition is presented to ensure the existence, uniqueness, and global robust stability of equilibria for interval neural networks with multiple time-varying delays based on the Lyapunov-Razumikhin technique as well as matrix inequality analysis. Several previous results are improved and generalized, and an example is given to show the effectiveness of the obtained results.

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