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...

Celý popis

Podrobná bibliografia

Vydané v:	Control engineering practice Ročník 116; s. 104901
Hlavní autori:	Su, Shuai, Wang, Xuekai, Tang, Tao, Wang, Guang, Cao, Yuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2021
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!