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Improved delay-dependent stability criterion for neural networks with time-varying delay |
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| Authors: | Junkang Tian Shouming Zhong |
| Affiliation: | a School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China b Key Laboratory for Neuroinformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China |
| Abstract: | In this paper, the problem of delay-dependent asymptotic stability criterion for neural networks with time-varying delay has been considered. A new class of Lyapunov functional which contains a triple-integral term is constructed to derive some new delay-dependent stability criteria. The obtained criteria are less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, numerical examples are given to illustrate the effectiveness of the proposed method. |
| Keywords: | Delay-dependent stability Neural networks Time-varying delay Linear matrix inequality (LMI) |
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