Optimal robust formation control for heterogeneous multi-agent systems based on reinforcement learning
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Yan, Bing, Shi, Peng 
ORCID: https://orcid.org/0000-0001-8218-586X, Lim, Cheng-Chew ORCID: https://orcid.org/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
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| 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 |
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