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Improved exponential stability criterion for neural networks with time-varying delay.
- Source :
-
Neurocomputing . Apr2017, Vol. 234, p154-163. 10p. - Publication Year :
- 2017
-
Abstract
- In this paper, the exponential stability for a class of neural networks with time-varying delay is concerned. An improved integral inequality is derived which extends the auxiliary function-based integral inequality. A novel Lyapounov-Krasovskii functional (LKF) with some new integral terms is constructed. Based on the improved integral inequality and reciprocally convex combination approach, a less conservative exponential stability criterion for the neural networks with time-varying delay is obtained. The effectiveness of the proposed method in this paper is illustrated via numerical examples. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 234
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 121242707
- Full Text :
- https://doi.org/10.1016/j.neucom.2016.12.057