Exponential stability criterion for interval neural networks with discrete and distributed delays

Hao Chen, Shouming Zhong and Jinliang Shao

Applied Mathematics and Computation, 2015, vol. 250, issue C, 121-130

Abstract: This paper investigates the global exponential stability of neural networks with discrete and distributed delays. A new criterion for the exponential stability of neural networks with mixed delays is derived by using the Lyapunov stability theory, Homomorphic mapping theory and matrix theory. The obtained result is easier to be verified than those previously reported stability results. Finally, some illustrative numerical examples are given to show the effectiveness of the proposed result.

Keywords: Neural networks; Lyapunov functional; Distributed delay; Exponential stability; M-matrix theory (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:250:y:2015:i:c:p:121-130

DOI: 10.1016/j.amc.2014.10.089

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