Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach

With the ever-increasing operating mileage of urban rail transit systems, a large amount of energy is consumed for train operation, and the energy-saving for train operation has become an attractive topic in the research community in recent years. In order to minimize the net energy consumption (i.e...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Control engineering practice Jg. 116; S. 104901
Hauptverfasser:	Su, Shuai, Wang, Xuekai, Tang, Tao, Wang, Guang, Cao, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2021
Schlagworte:	Cooperative control Energy saving Multi-agent reinforcement learning Regenerative energy Multi-agent reinforcement learning Energy saving Regenerative energy Cooperative control
ISSN:	0967-0661, 1873-6939
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!