Optimal robust formation control for heterogeneous multi‐agent systems based on reinforcement learning

Subjects

Subjects :

0209 industrial biotechnology
Computer science
business.industry
Mechanical Engineering
General Chemical Engineering
Multi-agent system
Control (management)
Biomedical Engineering
Aerospace Engineering
02 engineering and technology
Industrial and Manufacturing Engineering
Adaptive observer
020901 industrial engineering & automation
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
Reinforcement learning
020201 artificial intelligence & image processing
Artificial intelligence
Electrical and Electronic Engineering
business

Details

ISSN :

10991239 and 10498923

Volume :

32

Database :

OpenAIRE

Journal :

International Journal of Robust and Nonlinear Control

Accession number :

edsair.doi...........d9b4268b37c020d4dcf705f8ec9244e2