A mode-dependent approach to state estimation of recurrent neural networks with Markovian jumping parameters and mixed delays

DOI10.1016/j.neunet.2013.04.014zbMath1296.93182OpenAlexW2008792947WikidataQ44062616 ScholiaQ44062616MaRDI QIDQ461132

Tingwen Huang, He Huang, Xiao-Ping Chen

Publication date: 10 October 2014

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2013.04.014

zbMATH Keywords

state estimationtime delaysrecurrent neural networksMarkovian jumping parametershigh-order integral termsmode-dependent criteria

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Neural nets and related approaches to inference from stochastic processes (62M45)

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