Neural Networks and Fuzzy Logic Control System of Hybrid Vehicle Power Unit

Sergey A. Serikov

doi:10.1615/JAutomatInfScien.v46.i4.40

Journal of Automation and Information Sciences

Éditeur en chef: Arkadiy A. Chikriy (open in a new tab)

Éditeur associés: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publication de 12 numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

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Neural Networks and Fuzzy Logic Control System of Hybrid Vehicle Power Unit

Volume 46, Numéro 4, 2014, pp. 38-59

DOI: 10.1615/JAutomatInfScien.v46.i4.40

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Sergey A. Serikov
Kharkov National Transport University, Ukraine

RÉSUMÉ

The problem of adaptive control of a hybrid vehicle engine which minimizes the vector quality criterion in the presence of restrictions on the parameters of the state and control vector. Formal statement of the optimization problem is given. The solving this problem by the method of adaptive critic design-based neural networks and fuzzy logic control is considered.

MOTS CLÉS: hybrid vehicle power unit, problem of adaptive control, optimization problem statement, neural networks and fuzzy logic control method, adaptive critic.

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