Novel Lebesgue-integral-based approach to improved results for neural networks with additive time-varying delay components
DOI10.1016/j.jfranklin.2017.08.046zbMath1373.93252OpenAlexW2751022340MaRDI QIDQ2412291
Kaibo Shi, Ruimei Zhang, Yongbin Yu, De-Qiang Zeng, Guo-wu Yang, Shou-ming Zhong
Publication date: 23 October 2017
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.08.046
stabilityneural networksLyapunov-Krasovskii functional (LKF)Lebesgue integral theoryadditive time-varying delay component
Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and storage functions (93D30) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Large-scale systems (93A15)
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