Adaptive Critic Learning Techniques for Engine Torque and AiraFuel Ratio Control

A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning control of automotive engines. A class of adaptive critic designs that can be classified as (model-free) action-dependent h...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics man and cybernetics. Part B, Cybernetics, 2008-01, Vol.38 (4)
Hauptverfasser:	Liu, Derong, Javaherian, H, Kovalenko, O, Huang, T
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control systems Automotive engines Computer simulation Controllers Design engineering Learning Neural networks Torque
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!