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arXiv · 2005.06134

Exponential stability for time-delay neural networks via new weighted integral inequalities

Seakweng Vong·Kachon Hoi·Chenyang Shi
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Abstract

We study exponential stability for a kind of neural networks having time-varying delay. By extending the auxiliary function-based integral inequality, a novel integral inequality is derived by using weighted orthogonal functions of which one is discontinuous. Then, the new inequality is applied to investigate the exponential stability of time-delay neural networks via Lyapunov-Krasovskii functional (LKF) method. Numerical examples are given to verify the advantages of the proposed criterion.

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Seakweng Vong, Kachon Hoi, Chenyang Shi. 2020-05-13. Exponential stability for time-delay neural networks via new weighted integral inequalities. https://arxiv.org/abs/2005.06134

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