Non-fragile state estimation for memristive cellular neural networks with proportional delay

DOI10.1016/j.matcom.2021.10.009OpenAlexW3208018091MaRDI QIDQ2060277

G. Nagamani, A. Karnan

Publication date: 13 December 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2021.10.009

zbMATH Keywords

linear matrix inequalitycellular neural networksmemristorproportional delaynon-fragile state estimationasymmetric Lyapunov-krasovskii functional

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Systems theory; control (93-XX)

Related Items (2)

Proportional–integral-type estimator design for delayed recurrent neural networks under encoding–decoding mechanism ⋮ Time-dependent and Caputo derivative order-dependent quasi-uniform synchronization on fuzzy neural networks with proportional and distributed delays

Uses Software

• Matlab

Cites Work

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