Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive control.
- DOI
- 10.1016/j.neunet.2026.109442
- Published
- 2026 Jul 31
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109442,
title = {Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive control.},
author = {Liang Z and Gu Y and Tao Y and Xu R},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109442},
url = {https://doi.org/10.1016/j.neunet.2026.109442}
}RIS
TY - JOUR TI - Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive control. AU - Liang Z AU - Gu Y AU - Tao Y AU - Xu R PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109442 UR - https://doi.org/10.1016/j.neunet.2026.109442 ER -
APA
Z, L., Y, G., Y, T., & R, X. (2026). Robust formation tracking of multi-agent systems via reinforcement learning-based hybrid impulsive control.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109442
Source records
- pubmed · retrieved 2026-09-26T06:31:28.093Z