Delay-dependent exponential state estimators for stochastic neural networks of neutral type with both discrete and distributed delays

DOI10.1080/00207721.2013.794908zbMath1316.93111OpenAlexW1967393005MaRDI QIDQ5265642

Tong Wang, Lei Zhang, Yong-Sheng Ding, Kuang-Rong Hao

Publication date: 28 July 2015

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2013.794908

zbMATH Keywords

neutral systemsrecurrent neural networksstate estimatoralmost surely exponential stabilityLyapunov-Krasovskii functiondiscrete and distributed delays

Mathematics Subject Classification ID

Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Neural networks for/in biological studies, artificial life and related topics (92B20) Estimation and detection in stochastic control theory (93E10) Asymptotic stability in control theory (93D20)

Related Items (5)

Novel delay-dependent stability condition for mixed delayed stochastic neural networks with leakage delay signals ⋮ \(H_\infty \) state estimation of stochastic neural networks with mixed time-varying delays ⋮ Global exponential periodicity and stability of memristor-based complex-valued delayed neural networks ⋮ Further results for global exponential stability of stochastic memristor-based neural networks with time-varying delays ⋮ Passivity and robust synchronisation of switched interval coupled neural networks with time delay

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