On finite-horizon \(H_\infty\) state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol

DOI10.1016/j.ins.2020.11.002zbMath1485.93568OpenAlexW3098591238MaRDI QIDQ2124188

Jiahui Li, Hongjian Liu, Weiyin Fei, Zidong Wang, Fuad Eid S. Alsaadi

Publication date: 14 April 2022

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.11.002

zbMATH Keywords

memristive neural networksstochastic communication protocol\(H_\infty\) state estimationfinite-horizon estimation

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) (H^infty)-control (93B36) Networked control (93B70)

Related Items (3)

Fixed-/preassigned-time stabilization of delayed memristive neural networks ⋮ \(L_2\)-\(L_\infty\) state estimation of the high-order inertial neural network with time-varying delay: non-reduced order strategy ⋮ Event-triggered hybrid impulsive control on lag synchronization of delayed memristor-based bidirectional associative memory neural networks for image hiding

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