Finite-time non-fragile state estimation for discrete neural networks with sensor failures, time-varying delays and randomly occurring sensor nonlinearity
DOI10.1016/j.jfranklin.2018.10.032zbMath1406.93325OpenAlexW2906124186MaRDI QIDQ1717526
Jian-Ning Li, Zhu-Jian Li, Lin-Sheng Li, Yu-Fei Xu, Wen-Dong Bao
Publication date: 6 February 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.10.032
time-varying delaysdiscrete neural networksfinite-time state estimationnonlinear stochastic singular delayed system
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)
Related Items (3)
Cites Work
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