Stability analysis of time-varying delay neural networks based on new integral inequalities
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Publication:2205480
DOI10.1016/j.jfranklin.2020.08.017zbMath1450.93045OpenAlexW3082335888MaRDI QIDQ2205480
Shiqiang Shen, Yanqian Tang, Wanru Wang, Lian-Kun Sun
Publication date: 20 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.08.017
Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Delay control/observation systems (93C43) Networked control (93B70)
Related Items (4)
Further results on stability analysis of delayed neural networks via a parameter-dependent quadratic function negative-definiteness lemma ⋮ Further improvement of finite-time boundedness based nonfragile state feedback control for generalized neural networks with mixed interval time-varying delays via a new integral inequality ⋮ Novel inequality-based functions for the stability of time-varying delay systems ⋮ Stability and stabilization of fractional-order non-autonomous systems with unbounded delay
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