Key-term separation based hierarchical gradient approach for NN based Hammerstein battery model

DOI10.1016/J.AML.2024.109207zbMATH Open1544.93331MaRDI QIDQ6595479

Dongqing Wang

Publication date: 30 August 2024

Published in: Applied Mathematics Letters (Search for Journal in Brave)

zbMATH Keywords

Hammerstein modelskey-term separationneural network (NN)hierarchical decomposition principlestate of charge (SOC)

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Multivariable systems, multidimensional control systems (93C35)

Cites Work

• A stochastic predator-prey eco-epidemiological model with the fear effect
• Auxiliary model-based hierarchical stochastic gradient methods for multiple-input multiple-output systems

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