Paper Info
Title
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent
Abstract
In this paper, a decentralized optimal tracking control problem has been studied for a large-scale multi-agent system (MAS) with heterogeneous system dynamics. Due to the agent number of large-scale MAS, the notorious “curse of dimensionality” problem has challenged the traditional MAS algorithms for decades. The emerging mean field game (MFG) theory has recently been widely adopted to generate a ...
Year
DOI
Venue
2021
10.1109/CCTA48906.2021.9659203
2021 IEEE Conference on Control Technology and Applications (CCTA)
Keywords
DocType
ISBN
System dynamics,Neural networks,Games,Probability density function,Stability analysis,Probability distribution,Trajectory
Conference
978-1-6654-3643-4
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Zejian Zhou123.42
Hao Xu200.68