Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels

DOI10.1016/j.ins.2020.08.047zbMath1478.93682OpenAlexW3052433747MaRDI QIDQ2056347

Shuai Liu, Guoliang Wei, Bo Shen, Zidong Wang

Publication date: 2 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.047

zbMATH Keywords

neural networksstate estimationredundant channelspartially measurable nodesstate-dependent noises

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Networked control (93B70)

Related Items (4)

Event‐triggered nonfragile state estimation for delayed neural networks with additive and multiplicative gain variations ⋮ \(L_2\)-\(L_\infty\) state estimation of the high-order inertial neural network with time-varying delay: non-reduced order strategy ⋮ Stimulation location encoding on the spike train of neuron models with passive dendrite ⋮ Improved results on \(L_2-L_\infty\) state estimation for neural networks with time-varying delay

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