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

Download
Full text for this resource is not available from the Research Repository.
Export

Yan, Bing, Shi, Peng ORCID: 0000-0001-8218-586X, Lim, Cheng-Chew ORCID: 0000-0002-2463-9760 and Shi, Zhiyuan (2022) Optimal robust formation control for heterogeneous multi-agent systems based on reinforcement learning. International Journal of Robust and Nonlinear Control, 32 (5). pp. 2683-2704. ISSN 1049-8923

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/46609
DOI 10.1002/rnc.5828
Official URL https://onlinelibrary.wiley.com/doi/10.1002/rnc.58...
Subjects Current > FOR (2020) Classification > 4901 Applied mathematics
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords reinforcement learning, control strategy, systems, algorithm, optimisation
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login

CORE (COnnecting REpositories)