New stability results for delayed neural networks

Hanyong Shao, Huanhuan Li and Chuanjie Zhu

Applied Mathematics and Computation, 2017, vol. 311, issue C, 324-334

Abstract: This paper is concerned with the stability for delayed neural networks. By more fully making use of the information of the activation function, a new Lyapunov–Krasovskii functional (LKF) is constructed. Then a new integral inequality is developed, and more information of the activation function is taken into account when the derivative of the LKF is estimated. By Lyapunov stability theory, a new stability result is obtained. Finally, three examples are given to illustrate the stability result is less conservative than some recently reported ones.

Keywords: Neural networks; Lyapunov–Krasovskii functional; Integral inequality; Asymptotic stability (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:311:y:2017:i:c:p:324-334

DOI: 10.1016/j.amc.2017.05.023

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